
R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

  Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> source("pscore_estimation_core1.R")
Loading required package: gbm
Loading required package: survival
Loading required package: splines
Loading required package: lattice
Loaded gbm 1.6-3.1 
Loading required package: survey

Attaching package: 'survey'

The following object(s) are masked from 'package:graphics':

    dotchart

Loading required package: xtable
Loading required package: MASS
Loading required package: mlbench
Loading required package: nnet
Loading required package: class

Attaching package: 'ipred'

The following object(s) are masked from 'package:survey':

    cv

randomForest 4.5-36
Type rfNews() to see new features/changes/bug fixes.
> library(Matching)
Loading required package: rgenoud
##  rgenoud (Version 5.6-7, Build Date: 2010-06-01)
##  See http://sekhon.berkeley.edu/rgenoud for additional documentation.
## 
##  Matching (Version 4.7-10, Build Date: 2010/08/13)
##  See http://sekhon.berkeley.edu/matching for additional documentation.
##  Please cite software as:
##   Jasjeet S. Sekhon. Forthcoming. ``Multivariate and Propensity Score Matching
##   Software with Automated Balance Optimization: The Matching package for R.''
##   Journal of Statistical Software. 
##
> 
> load(file="RData.simdata.B.obs1000.reps1000")
> dta <- simdata.B.obs1000.reps1000
> rm(simdata.B.obs1000.reps1000)
> gc()
           used (Mb) gc trigger  (Mb) max used (Mb)
Ncells   200675 10.8     407500  21.8   350000 18.7
Vcells 12195008 93.1   13300721 101.5 12195672 93.1
> 
> #true estimate
> g1 <- -0.4
> 
> sims <- dim(dta)[2]
> nobs <- length(dta[1,2]$w1)
> 
> true.est <- matrix(0, nrow=sims, ncol=1)
> 
> logit.pscore <- list()
> logit.est <- matrix(0, nrow=sims, ncol=1)
> logit.nSE <- matrix(0, nrow=sims, ncol=1)
> logit.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> boosting.pscore <- list()
> boosting.desc <- list()
> boosting.est <- matrix(0, nrow=sims, ncol=1)
> boosting.nSE <- matrix(0, nrow=sims, ncol=1)
> boosting.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> forest.pscore <- list()
> forest.est <- matrix(0, nrow=sims, ncol=1)
> forest.nSE <- matrix(0, nrow=sims, ncol=1)
> forest.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> nnet.pscore <- list()
> nnet.est <- matrix(0, nrow=sims, ncol=1)
> nnet.nSE <- matrix(0, nrow=sims, ncol=1)
> nnet.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> count <- 0
> for (s in 1:sims)
+   {
+     cat("\n\ns:",s,"\n")
+     count <- count+1
+ 
+     sdta <- as.data.frame(dta[,s])
+ 
+     #true model
+ #    lm1 <- lm(y.a~ z.a+ w1 + w2 + w3 + w4 + w8 + w9 + w10, data=sdta)
+ #    true.est[s] <- lm1$coef[2]
+ #    cat("truth:",mean(true.est[1:s]),"\n")
+ 
+     #logit
+     logit.ps <- glm(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, data=sdta, family=binomial(link="logit"))$fitted
+     logit.pscore[[s]] <- logit.ps
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=logit.ps, estimand="ATT", M=1)
+     logit.est[s] <-  m1$est
+     logit.nSE[s] <- m1$se.standard
+     logit.aiSE[s] <- m1$se
+ 
+     cat("logit",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("logit mean",s,":",mean(logit.est[1:s]),"\n")
+         rmse <- sqrt(mean((logit.est[1:s]-g1)^2))
+         cat("logit RMSE",s,":",rmse,"\n")
+       }
+ 
+     #boosting!
+     ps.model <- ps(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10,
+                    data=sdta, title="none", stop.method=stop.methods["ks.stat.mean"],
+                    plots="none", pdf.plots=F, n.trees=20000, interaction.depth=4,
+                    shrinkage=0.0005, verbose=FALSE)
+ 
+     boosting.pscore[[s]] <- ps.model$ps
+     boosting.desc[[s]] <- ps.model$desc
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=ps.model$ps, estimand="ATT", M=1)
+     boosting.est[s] <-  m1$est
+     boosting.nSE[s] <- m1$se.standard
+     boosting.aiSE[s] <- m1$se
+ 
+     cat("\nboosting",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("boosting mean",s,":",mean(boosting.est[1:s]),"\n")
+         rmse <- sqrt(mean((boosting.est[1:s]-g1)^2))
+         cat("boosting RMSE",s,":",rmse,"\n")
+       }    
+ 
+ 
+     #Random Forest
+     ps1 <- 1
+     while (max(ps1)> .999) {
+ #      gc(verbose=TRUE)
+       fps.model <- randomForest(as.factor(z.a) ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, data=sdta)
+       ps1 <- fps.model$votes[, 2]
+     }
+     
+     forest.pscore[[s]] <- ps1
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=ps1, estimand="ATT", M=1)
+     forest.est[s] <-  m1$est
+     forest.nSE[s] <- m1$se.standard
+     forest.aiSE[s] <- m1$se
+ 
+     cat("\nforest",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("forest mean",s,":",mean(forest.est[1:s]),"\n")
+         rmse <- sqrt(mean((forest.est[1:s]-g1)^2))
+         cat("forest RMSE",s,":",rmse,"\n")
+       }
+ 
+     n1 <- nnet(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, size=40, data=sdta, trace=FALSE)
+     nnet.pscore[[s]] <- n1$fitted.values
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=n1$fitted.values, estimand="ATT", M=1)
+     nnet.est[s] <-  m1$est
+     nnet.nSE[s] <- m1$se.standard
+     nnet.aiSE[s] <- m1$se
+ 
+     cat("\nnnet",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("nnet mean",s,":",mean(nnet.est[1:s]),"\n")
+         rmse <- sqrt(mean((nnet.est[1:s]-g1)^2))
+         cat("nnet RMSE",s,":",rmse,"\n")
+       }    
+ 
+     if (count>50)
+       {
+         save.image("RData.sims.B.nobs1000")
+         count <- 0
+       }
+   }#end of sims loop


s: 1 
logit 1 : -0.4055321 

boosting 1 : -0.4910753 

forest 1 : -0.315659 

nnet 1 : -0.3609319 


s: 2 
logit 2 : -0.3609254 
logit mean 2 : -0.3832288 
logit RMSE 2 : 0.02790542 

boosting 2 : -0.2502660 
boosting mean 2 : -0.3706707 
boosting RMSE 2 : 0.1239254 

forest 2 : -0.3913921 
forest mean 2 : -0.3535256 
forest RMSE 2 : 0.05994789 

nnet 2 : -0.5078702 
nnet mean 2 : -0.434401 
nnet RMSE 2 : 0.08112427 


s: 3 
logit 3 : -0.3854377 
logit mean 3 : -0.3839651 
logit RMSE 3 : 0.02428637 

boosting 3 : -0.509329 
boosting mean 3 : -0.4168901 
boosting RMSE 3 : 0.1192586 

forest 3 : -0.3455394 
forest mean 3 : -0.3508635 
forest RMSE 3 : 0.05817633 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 3 : -0.1130903 
nnet mean 3 : -0.3272975 
nnet RMSE 3 : 0.1783998 


s: 4 
logit 4 : -0.4068806 
logit mean 4 : -0.389694 
logit RMSE 4 : 0.02131212 

boosting 4 : -0.3051261 
boosting mean 4 : -0.3889491 
boosting RMSE 4 : 0.1136540 

forest 4 : -0.3673699 
forest mean 4 : -0.3549901 
forest RMSE 4 : 0.05295795 

nnet 4 : -0.5645411 
nnet mean 4 : -0.3866084 
nnet RMSE 4 : 0.1750380 


s: 5 
logit 5 : -0.3745454 
logit mean 5 : -0.3866643 
logit RMSE 5 : 0.02220253 

boosting 5 : -0.4516154 
boosting mean 5 : -0.4014824 
boosting RMSE 5 : 0.1042430 

forest 5 : -0.399228 
forest mean 5 : -0.3638377 
forest RMSE 5 : 0.04736829 

nnet 5 : -0.3473833 
nnet mean 5 : -0.3787634 
nnet RMSE 5 : 0.1583173 


s: 6 
logit 6 : -0.3126321 
logit mean 6 : -0.3743256 
logit RMSE 6 : 0.04102419 

boosting 6 : -0.2643966 
boosting mean 6 : -0.3786347 
boosting RMSE 6 : 0.1100919 

forest 6 : -0.2964786 
forest mean 6 : -0.3526112 
forest RMSE 6 : 0.06046411 

nnet 6 : -0.3680228 
nnet mean 6 : -0.3769733 
nnet RMSE 6 : 0.1451116 


s: 7 
logit 7 : -0.4556926 
logit mean 7 : -0.3859494 
logit RMSE 7 : 0.0434241 

boosting 7 : -0.4404062 
boosting mean 7 : -0.3874592 
boosting RMSE 7 : 0.1030631 

forest 7 : -0.4749772 
forest mean 7 : -0.370092 
forest RMSE 7 : 0.06274327 

nnet 7 : -0.2304222 
nnet mean 7 : -0.3560374 
nnet RMSE 7 : 0.1488532 


s: 8 
logit 8 : -0.4935898 
logit mean 8 : -0.3994045 
logit RMSE 8 : 0.0523911 

boosting 8 : -0.510941 
boosting mean 8 : -0.4028945 
boosting RMSE 8 : 0.1040804 

forest 8 : -0.3631814 
forest mean 8 : -0.3692282 
forest RMSE 8 : 0.06011721 

nnet 8 : -0.4267673 
nnet mean 8 : -0.3648786 
nnet RMSE 8 : 0.1395607 


s: 9 
logit 9 : -0.4156152 
logit mean 9 : -0.4012057 
logit RMSE 9 : 0.0496683 

boosting 9 : -0.5003272 
boosting mean 9 : -0.4137203 
boosting RMSE 9 : 0.1036701 

forest 9 : -0.3990756 
forest mean 9 : -0.3725446 
forest RMSE 9 : 0.05667989 

nnet 9 : -0.2948704 
nnet mean 9 : -0.3570999 
nnet RMSE 9 : 0.1361656 


s: 10 
logit 10 : -0.4309838 
logit mean 10 : -0.4041835 
logit RMSE 10 : 0.04812738 

boosting 10 : -0.4449015 
boosting mean 10 : -0.4168384 
boosting RMSE 10 : 0.0993698 

forest 10 : -0.3943416 
forest mean 10 : -0.3747243 
forest RMSE 10 : 0.05380103 

nnet 10 : -0.3129661 
nnet mean 10 : -0.3526866 
nnet RMSE 10 : 0.1320775 


s: 11 
logit 11 : -0.4032164 
logit mean 11 : -0.4040956 
logit RMSE 11 : 0.0458979 

boosting 11 : -0.5450607 
boosting mean 11 : -0.428495 
boosting RMSE 11 : 0.1043535 

forest 11 : -0.3695779 
forest mean 11 : -0.3742564 
forest RMSE 11 : 0.0521109 

nnet 11 : -0.4813791 
nnet mean 11 : -0.3643859 
nnet RMSE 11 : 0.1282991 


s: 12 
logit 12 : -0.3633318 
logit mean 12 : -0.4006986 
logit RMSE 12 : 0.0452008 

boosting 12 : -0.3234152 
boosting mean 12 : -0.4197384 
boosting RMSE 12 : 0.1023277 

forest 12 : -0.3822346 
forest mean 12 : -0.3749213 
forest RMSE 12 : 0.05015527 

nnet 12 : -0.02949051 
nnet mean 12 : -0.3364779 
nnet RMSE 12 : 0.1628763 


s: 13 
logit 13 : -0.4350348 
logit mean 13 : -0.4033398 
logit RMSE 13 : 0.04450133 

boosting 13 : -0.4006851 
boosting mean 13 : -0.4182727 
boosting RMSE 13 : 0.09831343 

forest 13 : -0.432107 
forest mean 13 : -0.3793202 
forest RMSE 13 : 0.04900351 

nnet 13 : -0.4637301 
nnet mean 13 : -0.3462666 
nnet RMSE 13 : 0.1574816 


s: 14 
logit 14 : -0.3597701 
logit mean 14 : -0.4002277 
logit RMSE 14 : 0.04420991 

boosting 14 : -0.5278398 
boosting mean 14 : -0.4260989 
boosting RMSE 14 : 0.1007099 

forest 14 : -0.3950562 
forest mean 14 : -0.3804442 
forest RMSE 14 : 0.04723945 

nnet 14 : -0.4517917 
nnet mean 14 : -0.3538041 
nnet RMSE 14 : 0.1523830 


s: 15 
logit 15 : -0.3588024 
logit mean 15 : -0.397466 
logit RMSE 15 : 0.04401551 

boosting 15 : -0.4718637 
boosting mean 15 : -0.4291499 
boosting RMSE 15 : 0.09904857 

forest 15 : -0.2999427 
forest mean 15 : -0.3750774 
forest RMSE 15 : 0.05244258 

nnet 15 : -0.4091117 
nnet mean 15 : -0.3574912 
nnet RMSE 15 : 0.1472348 


s: 16 
logit 16 : -0.4898158 
logit mean 16 : -0.4032379 
logit RMSE 16 : 0.04817114 

boosting 16 : -0.7661209 
boosting mean 16 : -0.4502106 
boosting RMSE 16 : 0.1325716 

forest 16 : -0.4171065 
forest mean 16 : -0.3777042 
forest RMSE 16 : 0.05095709 

nnet 16 : -0.4426355 
nnet mean 16 : -0.3628128 
nnet RMSE 16 : 0.1429574 


s: 17 
logit 17 : -0.3569030 
logit mean 17 : -0.4005123 
logit RMSE 17 : 0.04788755 

boosting 17 : -0.3294574 
boosting mean 17 : -0.4431075 
boosting RMSE 17 : 0.1297464 

forest 17 : -0.3834052 
forest mean 17 : -0.3780396 
forest RMSE 17 : 0.04959921 

nnet 17 : -0.2793960 
nnet mean 17 : -0.3579059 
nnet RMSE 17 : 0.1417401 


s: 18 
logit 18 : -0.4009024 
logit mean 18 : -0.400534 
logit RMSE 18 : 0.04653882 

boosting 18 : -0.5237468 
boosting mean 18 : -0.4475874 
boosting RMSE 18 : 0.1294204 

forest 18 : -0.3824361 
forest mean 18 : -0.3782838 
forest RMSE 18 : 0.04837922 

nnet 18 : -0.62895 
nnet mean 18 : -0.3729639 
nnet RMSE 18 : 0.1479400 


s: 19 
logit 19 : -0.388078 
logit mean 19 : -0.3998784 
logit RMSE 19 : 0.04538006 

boosting 19 : -0.351831 
boosting mean 19 : -0.4425476 
boosting RMSE 19 : 0.1264523 

forest 19 : -0.3066484 
forest mean 19 : -0.3745136 
forest RMSE 19 : 0.05173028 

nnet 19 : -0.5941969 
nnet mean 19 : -0.3846077 
nnet RMSE 19 : 0.1507289 


s: 20 
logit 20 : -0.2896536 
logit mean 20 : -0.3943672 
logit RMSE 20 : 0.05064778 

boosting 20 : -0.4245345 
boosting mean 20 : -0.441647 
boosting RMSE 20 : 0.1233725 

forest 20 : -0.370016 
forest mean 20 : -0.3742887 
forest RMSE 20 : 0.05086426 

nnet 20 : -0.6070046 
nnet mean 20 : -0.3957276 
nnet RMSE 20 : 0.1540318 


s: 21 
logit 21 : -0.2967975 
logit mean 21 : -0.389721 
logit RMSE 21 : 0.05431597 

boosting 21 : -0.3063899 
boosting mean 21 : -0.4352062 
boosting RMSE 21 : 0.1221198 

forest 21 : -0.2764264 
forest mean 21 : -0.3696286 
forest RMSE 21 : 0.05649015 

nnet 21 : -0.3986252 
nnet mean 21 : -0.3958656 
nnet RMSE 21 : 0.1503199 


s: 22 
logit 22 : -0.4320124 
logit mean 22 : -0.3916433 
logit RMSE 22 : 0.05350425 

boosting 22 : -0.349253 
boosting mean 22 : -0.4312992 
boosting RMSE 22 : 0.1198017 

forest 22 : -0.4128256 
forest mean 22 : -0.3715921 
forest RMSE 22 : 0.05525905 

nnet 22 : -0.3339852 
nnet mean 22 : -0.3930528 
nnet RMSE 22 : 0.1475367 


s: 23 
logit 23 : -0.4394587 
logit mean 23 : -0.3937223 
logit RMSE 23 : 0.05297107 

boosting 23 : -0.5350125 
boosting mean 23 : -0.4358085 
boosting RMSE 23 : 0.1205029 

forest 23 : -0.4226443 
forest mean 23 : -0.3738117 
forest RMSE 23 : 0.05425028 

nnet 23 : -0.2759775 
nnet mean 23 : -0.3879626 
nnet RMSE 23 : 0.1465928 


s: 24 
logit 24 : -0.598692 
logit mean 24 : -0.4022627 
logit RMSE 24 : 0.0658328 

boosting 24 : -0.6891011 
boosting mean 24 : -0.4463623 
boosting RMSE 24 : 0.1319030 

forest 24 : -0.4327413 
forest mean 24 : -0.3762671 
forest RMSE 24 : 0.05352691 

nnet 24 : -0.6831283 
nnet mean 24 : -0.4002612 
nnet RMSE 24 : 0.1547066 


s: 25 
logit 25 : -0.453434 
logit mean 25 : -0.4043095 
logit RMSE 25 : 0.06538201 

boosting 25 : -0.4034402 
boosting mean 25 : -0.4446454 
boosting RMSE 25 : 0.1292398 

forest 25 : -0.3796792 
forest mean 25 : -0.3764036 
forest RMSE 25 : 0.05260269 

nnet 25 : -0.3222959 
nnet mean 25 : -0.3971425 
nnet RMSE 25 : 0.1523754 


s: 26 
logit 26 : -0.3807085 
logit mean 26 : -0.4034018 
logit RMSE 26 : 0.06422387 

boosting 26 : -0.4447561 
boosting mean 26 : -0.4446497 
boosting RMSE 26 : 0.1270337 

forest 26 : -0.3060294 
forest mean 26 : -0.3736969 
forest RMSE 26 : 0.05477455 

nnet 26 : -0.3729363 
nnet mean 26 : -0.3962115 
nnet RMSE 26 : 0.1495107 


s: 27 
logit 27 : -0.4386929 
logit mean 27 : -0.4047089 
logit RMSE 27 : 0.0634617 

boosting 27 : -0.5021384 
boosting mean 27 : -0.4467789 
boosting RMSE 27 : 0.1261992 

forest 27 : -0.5059691 
forest mean 27 : -0.3785959 
forest RMSE 27 : 0.05748944 

nnet 27 : -0.4537803 
nnet mean 27 : -0.3983437 
nnet RMSE 27 : 0.1470804 


s: 28 
logit 28 : -0.3441746 
logit mean 28 : -0.4025469 
logit RMSE 28 : 0.06320487 

boosting 28 : -0.4794091 
boosting mean 28 : -0.4479443 
boosting RMSE 28 : 0.1248305 

forest 28 : -0.3033349 
forest mean 28 : -0.375908 
forest RMSE 28 : 0.05933564 

nnet 28 : -0.4654431 
nnet mean 28 : -0.4007401 
nnet RMSE 28 : 0.1449587 


s: 29 
logit 29 : -0.3875121 
logit mean 29 : -0.4020285 
logit RMSE 29 : 0.06214885 

boosting 29 : -0.6053725 
boosting mean 29 : -0.4533728 
boosting RMSE 29 : 0.1284513 

forest 29 : -0.3312413 
forest mean 29 : -0.3743678 
forest RMSE 29 : 0.05968534 

nnet 29 : -0.4711915 
nnet mean 29 : -0.4031695 
nnet RMSE 29 : 0.1430496 


s: 30 
logit 30 : -0.5287573 
logit mean 30 : -0.4062528 
logit RMSE 30 : 0.06547018 

boosting 30 : -0.3701378 
boosting mean 30 : -0.4505983 
boosting RMSE 30 : 0.1264099 

forest 30 : -0.3731433 
forest mean 30 : -0.3743269 
forest RMSE 30 : 0.05888666 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 30 : -0.2304495 
nnet mean 30 : -0.3974121 
nnet RMSE 30 : 0.1440116 


s: 31 
logit 31 : -0.4579807 
logit mean 31 : -0.4079214 
logit RMSE 31 : 0.06524201 

boosting 31 : -0.5006156 
boosting mean 31 : -0.4522118 
boosting RMSE 31 : 0.1256605 

forest 31 : -0.4189404 
forest mean 31 : -0.3757661 
forest RMSE 31 : 0.05802888 

nnet 31 : -0.419373 
nnet mean 31 : -0.3981206 
nnet RMSE 31 : 0.1417125 


s: 32 
logit 32 : -0.3269154 
logit mean 32 : -0.40539 
logit RMSE 32 : 0.06550131 

boosting 32 : -0.6179398 
boosting mean 32 : -0.4573908 
boosting RMSE 32 : 0.1295431 

forest 32 : -0.4442749 
forest mean 32 : -0.377907 
forest RMSE 32 : 0.05764876 

nnet 32 : -0.3567963 
nnet mean 32 : -0.3968292 
nnet RMSE 32 : 0.1396896 


s: 33 
logit 33 : -0.4517467 
logit mean 33 : -0.4067947 
logit RMSE 33 : 0.0651272 

boosting 33 : -0.3995451 
boosting mean 33 : -0.4556379 
boosting RMSE 33 : 0.1275653 

forest 33 : -0.4464285 
forest mean 33 : -0.3799834 
forest RMSE 33 : 0.05734102 

nnet 33 : -0.2752117 
nnet mean 33 : -0.3931438 
nnet RMSE 33 : 0.1392615 


s: 34 
logit 34 : -0.4222795 
logit mean 34 : -0.4072502 
logit RMSE 34 : 0.06427596 

boosting 34 : -0.4494944 
boosting mean 34 : -0.4554572 
boosting RMSE 34 : 0.1259616 

forest 34 : -0.2859703 
forest mean 34 : -0.3772183 
forest RMSE 34 : 0.05978061 

nnet 34 : -0.1077139 
nnet mean 34 : -0.3847488 
nnet RMSE 34 : 0.1460686 


s: 35 
logit 35 : -0.4268126 
logit mean 35 : -0.4078091 
logit RMSE 35 : 0.06351299 

boosting 35 : -0.5238889 
boosting mean 35 : -0.4574124 
boosting RMSE 35 : 0.1259029 

forest 35 : -0.4173081 
forest mean 35 : -0.3783637 
forest RMSE 35 : 0.058993 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 35 : -0.3612117 
nnet mean 35 : -0.3840763 
nnet RMSE 35 : 0.144116 


s: 36 
logit 36 : -0.3957782 
logit mean 36 : -0.4074749 
logit RMSE 36 : 0.0626286 

boosting 36 : -0.4453009 
boosting mean 36 : -0.457076 
boosting RMSE 36 : 0.1243713 

forest 36 : -0.4087728 
forest mean 36 : -0.3792084 
forest RMSE 36 : 0.05818626 

nnet 36 : -0.2039309 
nnet mean 36 : -0.3790723 
nnet RMSE 36 : 0.1458093 


s: 37 
logit 37 : -0.3118216 
logit mean 37 : -0.4048897 
logit RMSE 37 : 0.06345455 

boosting 37 : -0.1870962 
boosting mean 37 : -0.4497792 
boosting RMSE 37 : 0.1275745 

forest 37 : -0.356239 
forest mean 37 : -0.3785876 
forest RMSE 37 : 0.0578437 

nnet 37 : -0.2327773 
nnet mean 37 : -0.3751184 
nnet RMSE 37 : 0.1464292 


s: 38 
logit 38 : -0.4089926 
logit mean 38 : -0.4049976 
logit RMSE 38 : 0.06263104 

boosting 38 : -0.5483026 
boosting mean 38 : -0.4523719 
boosting RMSE 38 : 0.1281629 

forest 38 : -0.4196237 
forest mean 38 : -0.3796675 
forest RMSE 38 : 0.05716623 

nnet 38 : -0.3808846 
nnet mean 38 : -0.3752701 
nnet RMSE 38 : 0.1445230 


s: 39 
logit 39 : -0.4015990 
logit mean 39 : -0.4049105 
logit RMSE 39 : 0.0618234 

boosting 39 : -0.5361519 
boosting mean 39 : -0.4545201 
boosting RMSE 39 : 0.1283739 

forest 39 : -0.365685 
forest mean 39 : -0.379309 
forest RMSE 39 : 0.05669547 

nnet 39 : -0.3610174 
nnet mean 39 : -0.3749046 
nnet RMSE 39 : 0.1427946 


s: 40 
logit 40 : -0.3064567 
logit mean 40 : -0.4024492 
logit RMSE 40 : 0.06281192 

boosting 40 : -0.3981803 
boosting mean 40 : -0.4531116 
boosting RMSE 40 : 0.1267594 

forest 40 : -0.3446376 
forest mean 40 : -0.3784422 
forest RMSE 40 : 0.05666253 

nnet 40 : -0.3662624 
nnet mean 40 : -0.3746886 
nnet RMSE 40 : 0.1410992 


s: 41 
logit 41 : -0.3461131 
logit mean 41 : -0.4010751 
logit RMSE 41 : 0.06260938 

boosting 41 : -0.3179771 
boosting mean 41 : -0.4498157 
boosting RMSE 41 : 0.1258576 

forest 41 : -0.3377596 
forest mean 41 : -0.3774500 
forest RMSE 41 : 0.05680509 

nnet 41 : -0.3456855 
nnet mean 41 : -0.3739812 
nnet RMSE 41 : 0.1396258 


s: 42 
logit 42 : -0.3992992 
logit mean 42 : -0.4010328 
logit RMSE 42 : 0.06185964 

boosting 42 : -0.4638253 
boosting mean 42 : -0.4501492 
boosting RMSE 42 : 0.1247397 

forest 42 : -0.4181424 
forest mean 42 : -0.3784188 
forest RMSE 42 : 0.05619454 

nnet 42 : -0.4595632 
nnet mean 42 : -0.3760189 
nnet RMSE 42 : 0.1382594 


s: 43 
logit 43 : -0.4495636 
logit mean 43 : -0.4021614 
logit RMSE 43 : 0.06160156 

boosting 43 : -0.5988805 
boosting mean 43 : -0.4536081 
boosting RMSE 43 : 0.1269566 

forest 43 : -0.3289604 
forest mean 43 : -0.3772686 
forest RMSE 43 : 0.05658403 

nnet 43 : -0.6143216 
nnet mean 43 : -0.3815608 
nnet RMSE 43 : 0.1404967 


s: 44 
logit 44 : -0.443918 
logit mean 44 : -0.4031105 
logit RMSE 44 : 0.06125638 

boosting 44 : -0.3549506 
boosting mean 44 : -0.4513659 
boosting RMSE 44 : 0.1256892 

forest 44 : -0.4123162 
forest mean 44 : -0.3780652 
forest RMSE 44 : 0.05596814 

nnet 44 : -0.5040141 
nnet mean 44 : -0.3843438 
nnet RMSE 44 : 0.1397734 


s: 45 
logit 45 : -0.4268162 
logit mean 45 : -0.4036372 
logit RMSE 45 : 0.0607037 

boosting 45 : -0.4238222 
boosting mean 45 : -0.4507538 
boosting RMSE 45 : 0.1243356 

forest 45 : -0.313036 
forest mean 45 : -0.3766201 
forest RMSE 45 : 0.05684086 

nnet 45 : -0.3761399 
nnet mean 45 : -0.3841615 
nnet RMSE 45 : 0.1382574 


s: 46 
logit 46 : -0.4270812 
logit mean 46 : -0.4041469 
logit RMSE 46 : 0.06017288 

boosting 46 : -0.4572014 
boosting mean 46 : -0.450894 
boosting RMSE 46 : 0.1232655 

forest 46 : -0.3877162 
forest mean 46 : -0.3768613 
forest RMSE 46 : 0.0562488 

nnet 46 : -0.414573 
nnet mean 46 : -0.3848226 
nnet RMSE 46 : 0.1367632 


s: 47 
logit 47 : -0.4164975 
logit mean 47 : -0.4044097 
logit RMSE 47 : 0.05957791 

boosting 47 : -0.523121 
boosting mean 47 : -0.4524307 
boosting RMSE 47 : 0.1232625 

forest 47 : -0.2811295 
forest mean 47 : -0.3748244 
forest RMSE 47 : 0.05828595 

nnet 47 : -0.4280847 
nnet mean 47 : -0.3857431 
nnet RMSE 47 : 0.1353624 


s: 48 
logit 48 : -0.4320874 
logit mean 48 : -0.4049863 
logit RMSE 48 : 0.05913569 

boosting 48 : -0.4648611 
boosting mean 48 : -0.4526897 
boosting RMSE 48 : 0.1223305 

forest 48 : -0.3392568 
forest mean 48 : -0.3740835 
forest RMSE 48 : 0.0583382 

nnet 48 : -0.2455167 
nnet mean 48 : -0.3828217 
nnet RMSE 48 : 0.1357883 


s: 49 
logit 49 : -0.4349161 
logit mean 49 : -0.4055971 
logit RMSE 49 : 0.05874131 

boosting 49 : -0.5292093 
boosting mean 49 : -0.4542513 
boosting RMSE 49 : 0.1224747 

forest 49 : -0.3578279 
forest mean 49 : -0.3737517 
forest RMSE 49 : 0.05805329 

nnet 49 : -0.3592164 
nnet mean 49 : -0.38234 
nnet RMSE 49 : 0.1345217 


s: 50 
logit 50 : -0.3892527 
logit mean 50 : -0.4052702 
logit RMSE 50 : 0.05817079 

boosting 50 : -0.4129984 
boosting mean 50 : -0.4534263 
boosting RMSE 50 : 0.1212577 

forest 50 : -0.3982461 
forest mean 50 : -0.3742416 
forest RMSE 50 : 0.05747036 

nnet 50 : -0.6526151 
nnet mean 50 : -0.3877455 
nnet RMSE 50 : 0.1378784 


s: 51 
logit 51 : -0.3751133 
logit mean 51 : -0.4046789 
logit RMSE 51 : 0.05770299 

boosting 51 : -0.5099671 
boosting mean 51 : -0.4545349 
boosting RMSE 51 : 0.1210465 

forest 51 : -0.3506430 
forest mean 51 : -0.3737789 
forest RMSE 51 : 0.05732232 

nnet 51 : -0.3432699 
nnet mean 51 : -0.3868734 
nnet RMSE 51 : 0.1367509 


s: 52 
logit 52 : -0.457175 
logit mean 52 : -0.4056884 
logit RMSE 52 : 0.05769288 

boosting 52 : -0.744545 
boosting mean 52 : -0.460112 
boosting RMSE 52 : 0.1290480 

forest 52 : -0.337166 
forest mean 52 : -0.3730748 
forest RMSE 52 : 0.0574333 

nnet 52 : -0.4950288 
nnet mean 52 : -0.3889533 
nnet RMSE 52 : 0.1360693 


s: 53 
logit 53 : -0.3841862 
logit mean 53 : -0.4052827 
logit RMSE 53 : 0.05718729 

boosting 53 : -0.3793923 
boosting mean 53 : -0.458589 
boosting RMSE 53 : 0.1278561 

forest 53 : -0.4252411 
forest mean 53 : -0.3740591 
forest RMSE 53 : 0.05699445 

nnet 53 : -0.3607733 
nnet mean 53 : -0.3884216 
nnet RMSE 53 : 0.1348872 


s: 54 
logit 54 : -0.4653989 
logit mean 54 : -0.406396 
logit RMSE 54 : 0.05735004 

boosting 54 : -0.3957783 
boosting mean 54 : -0.4574258 
boosting RMSE 54 : 0.126668 

forest 54 : -0.4283437 
forest mean 54 : -0.3750643 
forest RMSE 54 : 0.05659584 

nnet 54 : -0.5746672 
nnet mean 54 : -0.3918706 
nnet RMSE 54 : 0.1357298 


s: 55 
logit 55 : -0.3341936 
logit mean 55 : -0.4050832 
logit RMSE 55 : 0.05751489 

boosting 55 : -0.4889443 
boosting mean 55 : -0.4579989 
boosting RMSE 55 : 0.1260829 

forest 55 : -0.3640994 
forest mean 55 : -0.3748650 
forest RMSE 55 : 0.05628752 

nnet 55 : -0.3236475 
nnet mean 55 : -0.3906302 
nnet RMSE 55 : 0.1348837 


s: 56 
logit 56 : -0.4328961 
logit mean 56 : -0.4055799 
logit RMSE 56 : 0.05716831 

boosting 56 : -0.6531121 
boosting mean 56 : -0.4614831 
boosting RMSE 56 : 0.1294490 

forest 56 : -0.3698069 
forest mean 56 : -0.3747746 
forest RMSE 56 : 0.05592842 

nnet 56 : -0.5398835 
nnet mean 56 : -0.3932954 
nnet RMSE 56 : 0.1349746 


s: 57 
logit 57 : -0.4463803 
logit mean 57 : -0.4062957 
logit RMSE 57 : 0.05699665 

boosting 57 : -0.2137851 
boosting mean 57 : -0.4571375 
boosting RMSE 57 : 0.1306577 

forest 57 : -0.3193424 
forest mean 57 : -0.3738021 
forest RMSE 57 : 0.05645569 

nnet 57 : -0.1251088 
nnet mean 57 : -0.3885904 
nnet RMSE 57 : 0.1386515 


s: 58 
logit 58 : -0.4178337 
logit mean 58 : -0.4064946 
logit RMSE 58 : 0.05655167 

boosting 58 : -0.5488273 
boosting mean 58 : -0.4587183 
boosting RMSE 58 : 0.1309923 

forest 58 : -0.3117463 
forest mean 58 : -0.3727322 
forest RMSE 58 : 0.05715401 

nnet 58 : -0.5903768 
nnet mean 58 : -0.3920695 
nnet RMSE 58 : 0.1397057 


s: 59 
logit 59 : -0.4343375 
logit mean 59 : -0.4069665 
logit RMSE 59 : 0.05624829 

boosting 59 : -0.4595669 
boosting mean 59 : -0.4587327 
boosting RMSE 59 : 0.1301088 

forest 59 : -0.3370228 
forest mean 59 : -0.372127 
forest RMSE 59 : 0.05725764 

nnet 59 : -0.3642444 
nnet mean 59 : -0.3915979 
nnet RMSE 59 : 0.1385949 


s: 60 
logit 60 : -0.4283191 
logit mean 60 : -0.4073224 
logit RMSE 60 : 0.05589727 

boosting 60 : -0.4206496 
boosting mean 60 : -0.458098 
boosting RMSE 60 : 0.1290475 

forest 60 : -0.3431658 
forest mean 60 : -0.3716443 
forest RMSE 60 : 0.05725061 

nnet 60 : -0.6594161 
nnet mean 60 : -0.3960615 
nnet RMSE 60 : 0.1414567 


s: 61 
logit 61 : -0.4228765 
logit mean 61 : -0.4075774 
logit RMSE 61 : 0.05551453 

boosting 61 : -0.4581158 
boosting mean 61 : -0.4580983 
boosting RMSE 61 : 0.1282015 

forest 61 : -0.3757016 
forest mean 61 : -0.3717108 
forest RMSE 61 : 0.05686457 

nnet 61 : -0.367947 
nnet mean 61 : -0.3956006 
nnet RMSE 61 : 0.1403525 


s: 62 
logit 62 : -0.4589734 
logit mean 62 : -0.4084064 
logit RMSE 62 : 0.05557203 

boosting 62 : -0.5353706 
boosting mean 62 : -0.4593446 
boosting RMSE 62 : 0.1283203 

forest 62 : -0.2829073 
forest mean 62 : -0.3702785 
forest RMSE 62 : 0.05833151 

nnet 62 : -0.4738936 
nnet mean 62 : -0.3968634 
nnet RMSE 62 : 0.1395319 


s: 63 
logit 63 : -0.5046833 
logit mean 63 : -0.4099346 
logit RMSE 63 : 0.05668488 

boosting 63 : -0.4533896 
boosting mean 63 : -0.4592501 
boosting RMSE 63 : 0.1274754 

forest 63 : -0.3486004 
forest mean 63 : -0.3699344 
forest RMSE 63 : 0.05822793 

nnet 63 : -0.612069 
nnet mean 63 : -0.4002794 
nnet RMSE 63 : 0.1409751 


s: 64 
logit 64 : -0.3414568 
logit mean 64 : -0.4088646 
logit RMSE 64 : 0.05671439 

boosting 64 : -0.4603828 
boosting mean 64 : -0.4592678 
boosting RMSE 64 : 0.1267006 

forest 64 : -0.3514618 
forest mean 64 : -0.3696458 
forest RMSE 64 : 0.05808896 

nnet 64 : 0.02906753 
nnet mean 64 : -0.3935708 
nnet RMSE 64 : 0.1497999 


s: 65 
logit 65 : -0.3108717 
logit mean 65 : -0.407357 
logit RMSE 65 : 0.05735198 

boosting 65 : -0.4755446 
boosting mean 65 : -0.4595182 
boosting RMSE 65 : 0.1260709 

forest 65 : -0.4477085 
forest mean 65 : -0.3708467 
forest RMSE 65 : 0.05794335 

nnet 65 : -0.4051896 
nnet mean 65 : -0.3937496 
nnet RMSE 65 : 0.1486445 


s: 66 
logit 66 : -0.4767797 
logit mean 66 : -0.4084089 
logit RMSE 66 : 0.05769517 

boosting 66 : -0.5815302 
boosting mean 66 : -0.4613669 
boosting RMSE 66 : 0.1270919 

forest 66 : -0.3874665 
forest mean 66 : -0.3710985 
forest RMSE 66 : 0.0575234 

nnet 66 : -0.5567181 
nnet mean 66 : -0.3962188 
nnet RMSE 66 : 0.1487701 


s: 67 
logit 67 : -0.392229 
logit mean 67 : -0.4081674 
logit RMSE 67 : 0.05727086 

boosting 67 : -0.5990563 
boosting mean 67 : -0.4634219 
boosting RMSE 67 : 0.1284627 

forest 67 : -0.379224 
forest mean 67 : -0.3712198 
forest RMSE 67 : 0.0571489 

nnet 67 : -0.3488011 
nnet mean 67 : -0.3955111 
nnet RMSE 67 : 0.1477881 


s: 68 
logit 68 : -0.4557293 
logit mean 68 : -0.4088668 
logit RMSE 68 : 0.05724849 

boosting 68 : -0.5028255 
boosting mean 68 : -0.4640014 
boosting RMSE 68 : 0.1281228 

forest 68 : -0.3245008 
forest mean 68 : -0.3705328 
forest RMSE 68 : 0.05746123 

nnet 68 : -0.2277522 
nnet mean 68 : -0.393044 
nnet RMSE 68 : 0.1481771 


s: 69 
logit 69 : -0.3738959 
logit mean 69 : -0.40836 
logit RMSE 69 : 0.05691895 

boosting 69 : -0.4224728 
boosting mean 69 : -0.4633995 
boosting RMSE 69 : 0.1272198 

forest 69 : -0.3344168 
forest mean 69 : -0.3700093 
forest RMSE 69 : 0.05758712 

nnet 69 : -0.230729 
nnet mean 69 : -0.3906916 
nnet RMSE 69 : 0.1485042 


s: 70 
logit 70 : -0.4036308 
logit mean 70 : -0.4082924 
logit RMSE 70 : 0.05651259 

boosting 70 : -0.3941466 
boosting mean 70 : -0.4624102 
boosting RMSE 70 : 0.1263097 

forest 70 : -0.3366416 
forest mean 70 : -0.3695327 
forest RMSE 70 : 0.05767363 

nnet 70 : -0.3112691 
nnet mean 70 : -0.389557 
nnet RMSE 70 : 0.1478205 


s: 71 
logit 71 : -0.4214045 
logit mean 71 : -0.4084771 
logit RMSE 71 : 0.05617068 

boosting 71 : -0.4639294 
boosting mean 71 : -0.4624316 
boosting RMSE 71 : 0.1256464 

forest 71 : -0.4180795 
forest mean 71 : -0.3702164 
forest RMSE 71 : 0.05730622 

nnet 71 : -0.629971 
nnet mean 71 : -0.3929431 
nnet RMSE 71 : 0.1492918 


s: 72 
logit 72 : -0.3641064 
logit mean 72 : -0.4078609 
logit RMSE 72 : 0.0559394 

boosting 72 : -0.4016507 
boosting mean 72 : -0.4615874 
boosting RMSE 72 : 0.1247709 

forest 72 : -0.3383497 
forest mean 72 : -0.3697738 
forest RMSE 72 : 0.05736881 

nnet 72 : -0.4735604 
nnet mean 72 : -0.3940628 
nnet RMSE 72 : 0.1485047 


s: 73 
logit 73 : -0.4295614 
logit mean 73 : -0.4081581 
logit RMSE 73 : 0.05566257 

boosting 73 : -0.4568895 
boosting mean 73 : -0.4615231 
boosting RMSE 73 : 0.1240921 

forest 73 : -0.4242032 
forest mean 73 : -0.3705194 
forest RMSE 73 : 0.0570449 

nnet 73 : -0.3064261 
nnet mean 73 : -0.3928623 
nnet RMSE 73 : 0.1478901 


s: 74 
logit 74 : -0.4891574 
logit mean 74 : -0.4092527 
logit RMSE 74 : 0.05624831 

boosting 74 : -0.4668478 
boosting mean 74 : -0.461595 
boosting RMSE 74 : 0.1234956 

forest 74 : -0.3979886 
forest mean 74 : -0.3708906 
forest RMSE 74 : 0.05665863 

nnet 74 : -0.06355573 
nnet mean 74 : -0.3884122 
nnet RMSE 74 : 0.1520052 


s: 75 
logit 75 : -0.3301101 
logit mean 75 : -0.4081975 
logit RMSE 75 : 0.05645188 

boosting 75 : -0.545432 
boosting mean 75 : -0.4627129 
boosting RMSE 75 : 0.1238136 

forest 75 : -0.3457324 
forest mean 75 : -0.3705552 
forest RMSE 75 : 0.05662741 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 75 : -0.2296499 
nnet mean 75 : -0.3862954 
nnet RMSE 75 : 0.1522643 


s: 76 
logit 76 : -0.3813661 
logit mean 76 : -0.4078444 
logit RMSE 76 : 0.05611998 

boosting 76 : -0.5956721 
boosting mean 76 : -0.4644623 
boosting RMSE 76 : 0.1250275 

forest 76 : -0.3160907 
forest mean 76 : -0.3698386 
forest RMSE 76 : 0.05707112 

nnet 76 : -0.3895514 
nnet mean 76 : -0.3863382 
nnet RMSE 76 : 0.1512640 


s: 77 
logit 77 : -0.3454575 
logit mean 77 : -0.4070342 
logit RMSE 77 : 0.05609978 

boosting 77 : -0.475935 
boosting mean 77 : -0.4646113 
boosting RMSE 77 : 0.1245141 

forest 77 : -0.3393577 
forest mean 77 : -0.3694427 
forest RMSE 77 : 0.05711893 

nnet 77 : -0.4990974 
nnet mean 77 : -0.3878026 
nnet RMSE 77 : 0.1507023 


s: 78 
logit 78 : -0.3244019 
logit mean 78 : -0.4059748 
logit RMSE 78 : 0.05639244 

boosting 78 : -0.4247059 
boosting mean 78 : -0.4640997 
boosting RMSE 78 : 0.1237450 

forest 78 : -0.301503 
forest mean 78 : -0.3685717 
forest RMSE 78 : 0.05783705 

nnet 78 : -0.1338007 
nnet mean 78 : -0.3845462 
nnet RMSE 78 : 0.1527367 


s: 79 
logit 79 : -0.4102654 
logit mean 79 : -0.4060291 
logit RMSE 79 : 0.05604629 

boosting 79 : -0.3662802 
boosting mean 79 : -0.4628615 
boosting RMSE 79 : 0.1230178 

forest 79 : -0.3894969 
forest mean 79 : -0.3688366 
forest RMSE 79 : 0.05748198 

nnet 79 : -0.3938371 
nnet mean 79 : -0.3846638 
nnet RMSE 79 : 0.1517685 


s: 80 
logit 80 : -0.4273388 
logit mean 80 : -0.4062955 
logit RMSE 80 : 0.0557787 

boosting 80 : -0.537664 
boosting mean 80 : -0.4637965 
boosting RMSE 80 : 0.1232116 

forest 80 : -0.2790019 
forest mean 80 : -0.3677136 
forest RMSE 80 : 0.05870163 

nnet 80 : -0.2493848 
nnet mean 80 : -0.3829728 
nnet RMSE 80 : 0.1517542 


s: 81 
logit 81 : -0.3923994 
logit mean 81 : -0.4061240 
logit RMSE 81 : 0.05543976 

boosting 81 : -0.3868559 
boosting mean 81 : -0.4628466 
boosting RMSE 81 : 0.1224574 

forest 81 : -0.4207516 
forest mean 81 : -0.3683684 
forest RMSE 81 : 0.0583837 

nnet 81 : -0.6544551 
nnet mean 81 : -0.3863245 
nnet RMSE 81 : 0.1534417 


s: 82 
logit 82 : -0.3791503 
logit mean 82 : -0.405795 
logit RMSE 82 : 0.05514876 

boosting 82 : -0.5384941 
boosting mean 82 : -0.4637692 
boosting RMSE 82 : 0.1226656 

forest 82 : -0.4360479 
forest mean 82 : -0.3691938 
forest RMSE 82 : 0.058163 

nnet 82 : -0.494794 
nnet mean 82 : -0.3876473 
nnet RMSE 82 : 0.1528621 


s: 83 
logit 83 : -0.4836331 
logit mean 83 : -0.4067328 
logit RMSE 83 : 0.05557889 

boosting 83 : -0.4652483 
boosting mean 83 : -0.463787 
boosting RMSE 83 : 0.1221346 

forest 83 : -0.3754374 
forest mean 83 : -0.369269 
forest RMSE 83 : 0.05787439 

nnet 83 : -0.5439581 
nnet mean 83 : -0.3895305 
nnet RMSE 83 : 0.1527579 


s: 84 
logit 84 : -0.3540474 
logit mean 84 : -0.4061056 
logit RMSE 84 : 0.05547412 

boosting 84 : -0.3787396 
boosting mean 84 : -0.4627745 
boosting RMSE 84 : 0.1214276 

forest 84 : -0.3948871 
forest mean 84 : -0.369574 
forest RMSE 84 : 0.05753158 

nnet 84 : -0.376465 
nnet mean 84 : -0.389375 
nnet RMSE 84 : 0.1518676 


s: 85 
logit 85 : -0.4375686 
logit mean 85 : -0.4064758 
logit RMSE 85 : 0.05529718 

boosting 85 : -0.4594708 
boosting mean 85 : -0.4627357 
boosting RMSE 85 : 0.1208834 

forest 85 : -0.3505293 
forest mean 85 : -0.3693499 
forest RMSE 85 : 0.05744332 

nnet 85 : -0.4728363 
nnet mean 85 : -0.3903569 
nnet RMSE 85 : 0.1511782 


s: 86 
logit 86 : -0.4853575 
logit mean 86 : -0.407393 
logit RMSE 86 : 0.05573995 

boosting 86 : -0.4538553 
boosting mean 86 : -0.4626324 
boosting RMSE 86 : 0.1203188 

forest 86 : -0.3096948 
forest mean 86 : -0.3686563 
forest RMSE 86 : 0.05793265 

nnet 86 : -0.5223977 
nnet mean 86 : -0.3918922 
nnet RMSE 86 : 0.1508751 


s: 87 
logit 87 : -0.4358314 
logit mean 87 : -0.4077199 
logit RMSE 87 : 0.05555167 

boosting 87 : -0.2578216 
boosting mean 87 : -0.4602782 
boosting RMSE 87 : 0.1205925 

forest 87 : -0.3982422 
forest mean 87 : -0.3689963 
forest RMSE 87 : 0.05759905 

nnet 87 : -0.3090251 
nnet mean 87 : -0.3909397 
nnet RMSE 87 : 0.1503223 


s: 88 
logit 88 : -0.3905455 
logit mean 88 : -0.4075247 
logit RMSE 88 : 0.05524432 

boosting 88 : -0.4645605 
boosting mean 88 : -0.4603269 
boosting RMSE 88 : 0.1201027 

forest 88 : -0.4254559 
forest mean 88 : -0.3696379 
forest RMSE 88 : 0.0573351 

nnet 88 : -0.5140956 
nnet mean 88 : -0.3923392 
nnet RMSE 88 : 0.1499598 


s: 89 
logit 89 : -0.4240937 
logit mean 89 : -0.4077109 
logit RMSE 89 : 0.05499242 

boosting 89 : -0.512829 
boosting mean 89 : -0.4609168 
boosting RMSE 89 : 0.1200235 

forest 89 : -0.4638934 
forest mean 89 : -0.3706970 
forest RMSE 89 : 0.05741295 

nnet 89 : -0.3940118 
nnet mean 89 : -0.392358 
nnet RMSE 89 : 0.1491163 


s: 90 
logit 90 : -0.3728299 
logit mean 90 : -0.4073233 
logit RMSE 90 : 0.054761 

boosting 90 : -0.5569848 
boosting mean 90 : -0.4619842 
boosting RMSE 90 : 0.1204964 

forest 90 : -0.3947604 
forest mean 90 : -0.3709643 
forest RMSE 90 : 0.05709577 

nnet 90 : -0.355855 
nnet mean 90 : -0.3919524 
nnet RMSE 90 : 0.1483585 


s: 91 
logit 91 : -0.3753284 
logit mean 91 : -0.4069717 
logit RMSE 91 : 0.05452066 

boosting 91 : -0.4059416 
boosting mean 91 : -0.4613684 
boosting RMSE 91 : 0.1198342 

forest 91 : -0.3972523 
forest mean 91 : -0.3712532 
forest RMSE 91 : 0.05678192 

nnet 91 : -0.406047 
nnet mean 91 : -0.3921073 
nnet RMSE 91 : 0.1475425 


s: 92 
logit 92 : -0.4472516 
logit mean 92 : -0.4074095 
logit RMSE 92 : 0.05444686 

boosting 92 : -0.6234425 
boosting mean 92 : -0.4631301 
boosting RMSE 92 : 0.1214365 

forest 92 : -0.4109450 
forest mean 92 : -0.3716846 
forest RMSE 92 : 0.056484 

nnet 92 : -0.5706621 
nnet mean 92 : -0.3940481 
nnet RMSE 92 : 0.1478132 


s: 93 
logit 93 : -0.4778897 
logit mean 93 : -0.4081674 
logit RMSE 93 : 0.05475235 

boosting 93 : -0.4805872 
boosting mean 93 : -0.4633178 
boosting RMSE 93 : 0.1210706 

forest 93 : -0.3870764 
forest mean 93 : -0.3718501 
forest RMSE 93 : 0.05619549 

nnet 93 : -0.5023231 
nnet mean 93 : -0.3952124 
nnet RMSE 93 : 0.1473988 


s: 94 
logit 94 : -0.4183704 
logit mean 94 : -0.4082759 
logit RMSE 94 : 0.05449329 

boosting 94 : -0.5938583 
boosting mean 94 : -0.4647065 
boosting RMSE 94 : 0.1220735 

forest 94 : -0.4743472 
forest mean 94 : -0.3729405 
forest RMSE 94 : 0.05641933 

nnet 94 : -0.5342143 
nnet mean 94 : -0.3966911 
nnet RMSE 94 : 0.1472647 


s: 95 
logit 95 : -0.4464878 
logit mean 95 : -0.4086782 
logit RMSE 95 : 0.05441515 

boosting 95 : -0.5744353 
boosting mean 95 : -0.4658615 
boosting RMSE 95 : 0.1227411 

forest 95 : -0.4362031 
forest mean 95 : -0.3736065 
forest RMSE 95 : 0.05624439 

nnet 95 : -0.3681096 
nnet mean 95 : -0.3963903 
nnet RMSE 95 : 0.1465241 


s: 96 
logit 96 : -0.4897114 
logit mean 96 : -0.4095223 
logit RMSE 96 : 0.0548999 

boosting 96 : -0.4418038 
boosting mean 96 : -0.4656109 
boosting RMSE 96 : 0.1221746 

forest 96 : -0.3469562 
forest mean 96 : -0.3733289 
forest RMSE 96 : 0.05621199 

nnet 96 : -0.3564194 
nnet mean 96 : -0.3959739 
nnet RMSE 96 : 0.1458268 


s: 97 
logit 97 : -0.4211261 
logit mean 97 : -0.4096419 
logit RMSE 97 : 0.05465829 

boosting 97 : -0.6945632 
boosting mean 97 : -0.4679713 
boosting RMSE 97 : 0.1251690 

forest 97 : -0.4229327 
forest mean 97 : -0.3738402 
forest RMSE 97 : 0.05596994 

nnet 97 : -0.5687873 
nnet mean 97 : -0.3977555 
nnet RMSE 97 : 0.1460819 


s: 98 
logit 98 : -0.4436105 
logit mean 98 : -0.4099885 
logit RMSE 98 : 0.05455685 

boosting 98 : -0.6239092 
boosting mean 98 : -0.4695625 
boosting RMSE 98 : 0.1265661 

forest 98 : -0.4498978 
forest mean 98 : -0.3746163 
forest RMSE 98 : 0.05591131 

nnet 98 : -0.702345 
nnet mean 98 : -0.4008635 
nnet RMSE 98 : 0.1485091 


s: 99 
logit 99 : -0.4262351 
logit mean 99 : -0.4101526 
logit RMSE 99 : 0.05434462 

boosting 99 : -0.478631 
boosting mean 99 : -0.4696541 
boosting RMSE 99 : 0.1261730 

forest 99 : -0.3295064 
forest mean 99 : -0.3741607 
forest RMSE 99 : 0.05607756 

nnet 99 : -0.3980096 
nnet mean 99 : -0.4008347 
nnet RMSE 99 : 0.1477573 


s: 100 
logit 100 : -0.484308 
logit mean 100 : -0.4108942 
logit RMSE 100 : 0.05472552 

boosting 100 : -0.3837661 
boosting mean 100 : -0.4687952 
boosting RMSE 100 : 0.1255511 

forest 100 : -0.4517993 
forest mean 100 : -0.3749371 
forest RMSE 100 : 0.0560364 

nnet 100 : -0.4925694 
nnet mean 100 : -0.4017521 
nnet RMSE 100 : 0.1473078 


s: 101 
logit 101 : -0.3811093 
logit mean 101 : -0.4105993 
logit RMSE 101 : 0.05448636 

boosting 101 : -0.5623082 
boosting mean 101 : -0.4697211 
boosting RMSE 101 : 0.1259676 

forest 101 : -0.3701209 
forest mean 101 : -0.3748894 
forest RMSE 101 : 0.05583751 

nnet 101 : -0.372625 
nnet mean 101 : -0.4014637 
nnet RMSE 101 : 0.1466021 


s: 102 
logit 102 : -0.4813736 
logit mean 102 : -0.4112931 
logit RMSE 102 : 0.05481401 

boosting 102 : -0.6688289 
boosting mean 102 : -0.4716731 
boosting RMSE 102 : 0.1281436 

forest 102 : -0.3784766 
forest mean 102 : -0.3749245 
forest RMSE 102 : 0.05560398 

nnet 102 : -0.6709177 
nnet mean 102 : -0.4041054 
nnet RMSE 102 : 0.1483274 


s: 103 
logit 103 : -0.4786083 
logit mean 103 : -0.4119467 
logit RMSE 103 : 0.05509445 

boosting 103 : -0.6275174 
boosting mean 103 : -0.4731862 
boosting RMSE 103 : 0.1294756 

forest 103 : -0.3738872 
forest mean 103 : -0.3749145 
forest RMSE 103 : 0.05539318 

nnet 103 : -0.5243049 
nnet mean 103 : -0.4052724 
nnet RMSE 103 : 0.1481129 


s: 104 
logit 104 : -0.3819596 
logit mean 104 : -0.4116583 
logit RMSE 104 : 0.05485746 

boosting 104 : -0.5208522 
boosting mean 104 : -0.4736445 
boosting RMSE 104 : 0.1293954 

forest 104 : -0.3380530 
forest mean 104 : -0.37456 
forest RMSE 104 : 0.05545989 

nnet 104 : -0.4954839 
nnet mean 104 : -0.4061398 
nnet RMSE 104 : 0.1476962 


s: 105 
logit 105 : -0.4253705 
logit mean 105 : -0.4117889 
logit RMSE 105 : 0.05465173 

boosting 105 : -0.4544131 
boosting mean 105 : -0.4734613 
boosting RMSE 105 : 0.1288872 

forest 105 : -0.3559428 
forest mean 105 : -0.3743827 
forest RMSE 105 : 0.05536237 

nnet 105 : -0.4507346 
nnet mean 105 : -0.4065645 
nnet RMSE 105 : 0.1470746 


s: 106 
logit 106 : -0.3802474 
logit mean 106 : -0.4114914 
logit RMSE 106 : 0.05442715 

boosting 106 : -0.5366077 
boosting mean 106 : -0.4740571 
boosting RMSE 106 : 0.1289622 

forest 106 : -0.4326902 
forest mean 106 : -0.3749328 
forest RMSE 106 : 0.05519202 

nnet 106 : -0.4315451 
nnet mean 106 : -0.4068002 
nnet RMSE 106 : 0.1464112 


s: 107 
logit 107 : -0.4453683 
logit mean 107 : -0.411808 
logit RMSE 107 : 0.05434948 

boosting 107 : -0.4888446 
boosting mean 107 : -0.4741953 
boosting RMSE 107 : 0.1286452 

forest 107 : -0.4149846 
forest mean 107 : -0.3753071 
forest RMSE 107 : 0.0549526 

nnet 107 : -0.2740067 
nnet mean 107 : -0.4055591 
nnet RMSE 107 : 0.1462336 


s: 108 
logit 108 : -0.414321 
logit mean 108 : -0.4118312 
logit RMSE 108 : 0.05411482 

boosting 108 : -0.3890232 
boosting mean 108 : -0.4734066 
boosting RMSE 108 : 0.1280526 

forest 108 : -0.4045011 
forest mean 108 : -0.3755774 
forest RMSE 108 : 0.05469931 

nnet 108 : -0.540012 
nnet mean 108 : -0.406804 
nnet RMSE 108 : 0.1461772 


s: 109 
logit 109 : -0.5167062 
logit mean 109 : -0.4127934 
logit RMSE 109 : 0.05501368 

boosting 109 : -0.2682812 
boosting mean 109 : -0.4715247 
boosting RMSE 109 : 0.1280867 

forest 109 : -0.3457605 
forest mean 109 : -0.3753039 
forest RMSE 109 : 0.05469511 

nnet 109 : -0.4669945 
nnet mean 109 : -0.4073562 
nnet RMSE 109 : 0.1456466 


s: 110 
logit 110 : -0.3861463 
logit mean 110 : -0.4125512 
logit RMSE 110 : 0.05477897 

boosting 110 : -0.4659359 
boosting mean 110 : -0.4714739 
boosting RMSE 110 : 0.1276580 

forest 110 : -0.3681444 
forest mean 110 : -0.3752388 
forest RMSE 110 : 0.05453058 

nnet 110 : -0.3423057 
nnet mean 110 : -0.4067649 
nnet RMSE 110 : 0.1450874 


s: 111 
logit 111 : -0.4323381 
logit mean 111 : -0.4127294 
logit RMSE 111 : 0.05461798 

boosting 111 : -0.4397959 
boosting mean 111 : -0.4711885 
boosting RMSE 111 : 0.1271378 

forest 111 : -0.3675149 
forest mean 111 : -0.3751692 
forest RMSE 111 : 0.05437189 

nnet 111 : -0.1599792 
nnet mean 111 : -0.4045416 
nnet RMSE 111 : 0.146218 


s: 112 
logit 112 : -0.5381616 
logit mean 112 : -0.4138493 
logit RMSE 112 : 0.05591889 

boosting 112 : -0.5542614 
boosting mean 112 : -0.4719303 
boosting RMSE 112 : 0.1274055 

forest 112 : -0.3817757 
forest mean 112 : -0.3752282 
forest RMSE 112 : 0.054156 

nnet 112 : -0.5214388 
nnet mean 112 : -0.4055853 
nnet RMSE 112 : 0.1460154 


s: 113 
logit 113 : -0.430052 
logit mean 113 : -0.4139927 
logit RMSE 113 : 0.05574265 

boosting 113 : -0.5125937 
boosting mean 113 : -0.4722901 
boosting RMSE 113 : 0.1272820 

forest 113 : -0.3259576 
forest mean 113 : -0.3747922 
forest RMSE 113 : 0.0543639 

nnet 113 : -0.5751762 
nnet mean 113 : -0.4070861 
nnet RMSE 113 : 0.1462989 


s: 114 
logit 114 : -0.3964537 
logit mean 114 : -0.4138389 
logit RMSE 114 : 0.05549862 

boosting 114 : -0.3647859 
boosting mean 114 : -0.4713471 
boosting RMSE 114 : 0.1267655 

forest 114 : -0.4097015 
forest mean 114 : -0.3750984 
forest RMSE 114 : 0.05413256 

nnet 114 : -0.3375438 
nnet mean 114 : -0.4064761 
nnet RMSE 114 : 0.1457733 


s: 115 
logit 115 : -0.4375909 
logit mean 115 : -0.4140454 
logit RMSE 115 : 0.05536787 

boosting 115 : -0.4731908 
boosting mean 115 : -0.4713631 
boosting RMSE 115 : 0.1263975 

forest 115 : -0.3623663 
forest mean 115 : -0.3749877 
forest RMSE 115 : 0.05401082 

nnet 115 : -0.3508351 
nnet mean 115 : -0.4059923 
nnet RMSE 115 : 0.1452105 


s: 116 
logit 116 : -0.401232 
logit mean 116 : -0.4139350 
logit RMSE 116 : 0.05512882 

boosting 116 : -0.6392737 
boosting mean 116 : -0.4728106 
boosting RMSE 116 : 0.1277973 

forest 116 : -0.3104694 
forest mean 116 : -0.3744315 
forest RMSE 116 : 0.05441619 

nnet 116 : -0.5303497 
nnet mean 116 : -0.4070643 
nnet RMSE 116 : 0.1450889 


s: 117 
logit 117 : -0.4549192 
logit mean 117 : -0.4142853 
logit RMSE 117 : 0.05512703 

boosting 117 : -0.5112972 
boosting mean 117 : -0.4731396 
boosting RMSE 117 : 0.1276653 

forest 117 : -0.3220002 
forest mean 117 : -0.3739834 
forest RMSE 117 : 0.05466089 

nnet 117 : -0.549695 
nnet mean 117 : -0.4082834 
nnet RMSE 117 : 0.1451289 


s: 118 
logit 118 : -0.5567255 
logit mean 118 : -0.4154924 
logit RMSE 118 : 0.05675733 

boosting 118 : -0.2854303 
boosting mean 118 : -0.4715488 
boosting RMSE 118 : 0.1275600 

forest 118 : -0.3869841 
forest mean 118 : -0.3740935 
forest RMSE 118 : 0.05444197 

nnet 118 : -0.4605799 
nnet mean 118 : -0.4087266 
nnet RMSE 118 : 0.1446202 


s: 119 
logit 119 : -0.4630327 
logit mean 119 : -0.4158919 
logit RMSE 119 : 0.05681296 

boosting 119 : -0.4846908 
boosting mean 119 : -0.4716593 
boosting RMSE 119 : 0.1272599 

forest 119 : -0.412926 
forest mean 119 : -0.3744199 
forest RMSE 119 : 0.05422569 

nnet 119 : -0.708535 
nnet mean 119 : -0.4112460 
nnet RMSE 119 : 0.1467623 


s: 120 
logit 120 : -0.3922302 
logit mean 120 : -0.4156947 
logit RMSE 120 : 0.05658019 

boosting 120 : -0.7085477 
boosting mean 120 : -0.4736333 
boosting RMSE 120 : 0.1298209 

forest 120 : -0.3789658 
forest mean 120 : -0.3744577 
forest RMSE 120 : 0.0540334 

nnet 120 : -0.5771791 
nnet mean 120 : -0.4126287 
nnet RMSE 120 : 0.1470418 


s: 121 
logit 121 : -0.4234097 
logit mean 121 : -0.4157585 
logit RMSE 121 : 0.05638607 

boosting 121 : -0.4916152 
boosting mean 121 : -0.4737819 
boosting RMSE 121 : 0.1295514 

forest 121 : -0.3263352 
forest mean 121 : -0.37406 
forest RMSE 121 : 0.05422478 

nnet 121 : -0.2077037 
nnet mean 121 : -0.4109351 
nnet RMSE 121 : 0.1474727 


s: 122 
logit 122 : -0.392738 
logit mean 122 : -0.4155698 
logit RMSE 122 : 0.05615836 

boosting 122 : -0.6474969 
boosting mean 122 : -0.4752058 
boosting RMSE 122 : 0.1309507 

forest 122 : -0.3646256 
forest mean 122 : -0.3739827 
forest RMSE 122 : 0.05409698 

nnet 122 : -0.6053396 
nnet mean 122 : -0.4125286 
nnet RMSE 122 : 0.1480390 


s: 123 
logit 123 : -0.4469039 
logit mean 123 : -0.4158245 
logit RMSE 123 : 0.05608928 

boosting 123 : -0.5068572 
boosting mean 123 : -0.4754632 
boosting RMSE 123 : 0.1307727 

forest 123 : -0.3813869 
forest mean 123 : -0.3740429 
forest RMSE 123 : 0.05390275 

nnet 123 : -0.3296197 
nnet mean 123 : -0.4118546 
nnet RMSE 123 : 0.1475725 


s: 124 
logit 124 : -0.4107287 
logit mean 124 : -0.4157834 
logit RMSE 124 : 0.05587096 

boosting 124 : -0.4359238 
boosting mean 124 : -0.4751443 
boosting RMSE 124 : 0.1302842 

forest 124 : -0.3354857 
forest mean 124 : -0.3737320 
forest RMSE 124 : 0.05399667 

nnet 124 : -0.6701685 
nnet mean 124 : -0.4139377 
nnet RMSE 124 : 0.1489653 


s: 125 
logit 125 : -0.409755 
logit mean 125 : -0.4157352 
logit RMSE 125 : 0.05565387 

boosting 125 : -0.4397513 
boosting mean 125 : -0.4748612 
boosting RMSE 125 : 0.1298108 

forest 125 : -0.3744168 
forest mean 125 : -0.3737374 
forest RMSE 125 : 0.05382891 

nnet 125 : -0.5087588 
nnet mean 125 : -0.4146963 
nnet RMSE 125 : 0.1486868 


s: 126 
logit 126 : -0.3957732 
logit mean 126 : -0.4155768 
logit RMSE 126 : 0.05543386 

boosting 126 : -0.4287630 
boosting mean 126 : -0.4744953 
boosting RMSE 126 : 0.12932 

forest 126 : -0.3462357 
forest mean 126 : -0.3735192 
forest RMSE 126 : 0.0538284 

nnet 126 : -0.3656310 
nnet mean 126 : -0.4143069 
nnet RMSE 126 : 0.1481272 


s: 127 
logit 127 : -0.3024991 
logit mean 127 : -0.4146864 
logit RMSE 127 : 0.05588891 

boosting 127 : -0.3813214 
boosting mean 127 : -0.4737616 
boosting RMSE 127 : 0.1288205 

forest 127 : -0.1810773 
forest mean 127 : -0.3720039 
forest RMSE 127 : 0.05702684 

nnet 127 : -0.3157633 
nnet mean 127 : -0.413531 
nnet RMSE 127 : 0.1477321 


s: 128 
logit 128 : -0.4572562 
logit mean 128 : -0.415019 
logit RMSE 128 : 0.05589972 

boosting 128 : -0.5497098 
boosting mean 128 : -0.474355 
boosting RMSE 128 : 0.1289968 

forest 128 : -0.3854247 
forest mean 128 : -0.3721087 
forest RMSE 128 : 0.05681825 

nnet 128 : -0.4736068 
nnet mean 128 : -0.4140003 
nnet RMSE 128 : 0.1472977 


s: 129 
logit 129 : -0.4538374 
logit mean 129 : -0.4153199 
logit RMSE 129 : 0.05588403 

boosting 129 : -0.4396456 
boosting mean 129 : -0.4740859 
boosting RMSE 129 : 0.1285433 

forest 129 : -0.3762732 
forest mean 129 : -0.372141 
forest RMSE 129 : 0.05663614 

nnet 129 : -0.5207739 
nnet mean 129 : -0.414828 
nnet RMSE 129 : 0.1471105 


s: 130 
logit 130 : -0.4992417 
logit mean 130 : -0.4159654 
logit RMSE 130 : 0.05634503 

boosting 130 : -0.2100203 
boosting mean 130 : -0.4720547 
boosting RMSE 130 : 0.1291275 

forest 130 : -0.3704347 
forest mean 130 : -0.3721279 
forest RMSE 130 : 0.05647744 

nnet 130 : -0.449135 
nnet mean 130 : -0.4150919 
nnet RMSE 130 : 0.1466069 


s: 131 
logit 131 : -0.4483353 
logit mean 131 : -0.4162125 
logit RMSE 131 : 0.0562882 

boosting 131 : -0.5018005 
boosting mean 131 : -0.4722817 
boosting RMSE 131 : 0.1289408 

forest 131 : -0.385355 
forest mean 131 : -0.3722289 
forest RMSE 131 : 0.05627602 

nnet 131 : -0.5380987 
nnet mean 131 : -0.4160309 
nnet RMSE 131 : 0.1465438 


s: 132 
logit 132 : -0.3812712 
logit mean 132 : -0.4159478 
logit RMSE 132 : 0.05609827 

boosting 132 : -0.2638859 
boosting mean 132 : -0.470703 
boosting RMSE 132 : 0.1289966 

forest 132 : -0.3560638 
forest mean 132 : -0.3721064 
forest RMSE 132 : 0.05619272 

nnet 132 : -0.5485494 
nnet mean 132 : -0.4170348 
nnet RMSE 132 : 0.1465591 


s: 133 
logit 133 : -0.2732163 
logit mean 133 : -0.4148747 
logit RMSE 133 : 0.05695799 

boosting 133 : -0.4285794 
boosting mean 133 : -0.4703862 
boosting RMSE 133 : 0.1285347 

forest 133 : -0.2862174 
forest mean 133 : -0.3714606 
forest RMSE 133 : 0.05684384 

nnet 133 : -0.3109029 
nnet mean 133 : -0.4162368 
nnet RMSE 133 : 0.1462114 


s: 134 
logit 134 : -0.4069774 
logit mean 134 : -0.4148157 
logit RMSE 134 : 0.05674826 

boosting 134 : -0.4493803 
boosting mean 134 : -0.4702295 
boosting RMSE 134 : 0.1281252 

forest 134 : -0.3878013 
forest mean 134 : -0.3715826 
forest RMSE 134 : 0.05664114 

nnet 134 : -0.249232 
nnet mean 134 : -0.4149905 
nnet RMSE 134 : 0.1462459 


s: 135 
logit 135 : -0.3294763 
logit mean 135 : -0.4141836 
logit RMSE 135 : 0.05686257 

boosting 135 : -0.3106609 
boosting mean 135 : -0.4690475 
boosting RMSE 135 : 0.1278812 

forest 135 : -0.4205259 
forest mean 135 : -0.3719451 
forest RMSE 135 : 0.05645862 

nnet 135 : -0.5357345 
nnet mean 135 : -0.4158849 
nnet RMSE 135 : 0.1461708 


s: 136 
logit 136 : -0.4485036 
logit mean 136 : -0.4144359 
logit RMSE 136 : 0.0568056 

boosting 136 : -0.485999 
boosting mean 136 : -0.4691721 
boosting RMSE 136 : 0.1276234 

forest 136 : -0.3510273 
forest mean 136 : -0.3717913 
forest RMSE 136 : 0.0564072 

nnet 136 : -0.3874323 
nnet mean 136 : -0.4156757 
nnet RMSE 136 : 0.1456364 


s: 137 
logit 137 : -0.2749317 
logit mean 137 : -0.4134176 
logit RMSE 137 : 0.05759772 

boosting 137 : -0.2919703 
boosting mean 137 : -0.4678787 
boosting RMSE 137 : 0.1274913 

forest 137 : -0.3937849 
forest mean 137 : -0.3719518 
forest RMSE 137 : 0.05620346 

nnet 137 : -0.4524956 
nnet mean 137 : -0.4159445 
nnet RMSE 137 : 0.1451732 


s: 138 
logit 138 : -0.4083433 
logit mean 138 : -0.4133809 
logit RMSE 138 : 0.05739305 

boosting 138 : -0.5012359 
boosting mean 138 : -0.4681204 
boosting RMSE 138 : 0.1273205 

forest 138 : -0.3267758 
forest mean 138 : -0.3716245 
forest RMSE 138 : 0.0563453 

nnet 138 : -0.247343 
nnet mean 138 : -0.4147227 
nnet RMSE 138 : 0.1452288 


s: 139 
logit 139 : -0.3980934 
logit mean 139 : -0.4132709 
logit RMSE 139 : 0.05718646 

boosting 139 : -0.5266998 
boosting mean 139 : -0.4685418 
boosting RMSE 139 : 0.1273160 

forest 139 : -0.3160684 
forest mean 139 : -0.3712248 
forest RMSE 139 : 0.05659181 

nnet 139 : -0.3990279 
nnet mean 139 : -0.4146098 
nnet RMSE 139 : 0.1447055 


s: 140 
logit 140 : -0.4463167 
logit mean 140 : -0.4135069 
logit RMSE 140 : 0.05711615 

boosting 140 : -0.4475136 
boosting mean 140 : -0.4683916 
boosting RMSE 140 : 0.1269240 

forest 140 : -0.3044465 
forest mean 140 : -0.3707478 
forest RMSE 140 : 0.05696468 

nnet 140 : -0.5045257 
nnet mean 140 : -0.4152521 
nnet RMSE 140 : 0.1444581 


s: 141 
logit 141 : -0.3431373 
logit mean 141 : -0.4130079 
logit RMSE 141 : 0.05711436 

boosting 141 : -0.437823 
boosting mean 141 : -0.4681748 
boosting RMSE 141 : 0.1265133 

forest 141 : -0.3775912 
forest mean 141 : -0.3707963 
forest RMSE 141 : 0.05679368 

nnet 141 : -0.1690921 
nnet mean 141 : -0.4135063 
nnet RMSE 141 : 0.1452525 


s: 142 
logit 142 : -0.3252171 
logit mean 142 : -0.4123896 
logit RMSE 142 : 0.05725785 

boosting 142 : -0.5574757 
boosting mean 142 : -0.4688037 
boosting RMSE 142 : 0.1267578 

forest 142 : -0.3689281 
forest mean 142 : -0.3707832 
forest RMSE 142 : 0.05665338 

nnet 142 : -0.4404158 
nnet mean 142 : -0.4136958 
nnet RMSE 142 : 0.1447799 


s: 143 
logit 143 : -0.4617673 
logit mean 143 : -0.4127349 
logit RMSE 143 : 0.05729062 

boosting 143 : -0.8274 
boosting mean 143 : -0.4713114 
boosting RMSE 143 : 0.1312729 

forest 143 : -0.4111577 
forest mean 143 : -0.3710655 
forest RMSE 143 : 0.05646266 

nnet 143 : -0.4909958 
nnet mean 143 : -0.4142363 
nnet RMSE 143 : 0.1444733 


s: 144 
logit 144 : -0.4747146 
logit mean 144 : -0.4131653 
logit RMSE 144 : 0.05742985 

boosting 144 : -0.5167801 
boosting mean 144 : -0.4716271 
boosting RMSE 144 : 0.1311778 

forest 144 : -0.3423182 
forest mean 144 : -0.3708659 
forest RMSE 144 : 0.05647121 

nnet 144 : -0.4074595 
nnet mean 144 : -0.4141893 
nnet RMSE 144 : 0.1439722 


s: 145 
logit 145 : -0.4062977 
logit mean 145 : -0.413118 
logit RMSE 145 : 0.05723386 

boosting 145 : -0.4468375 
boosting mean 145 : -0.4714562 
boosting RMSE 145 : 0.1307826 

forest 145 : -0.3738043 
forest mean 145 : -0.3708861 
forest RMSE 145 : 0.05631818 

nnet 145 : -0.4155248 
nnet mean 145 : -0.4141985 
nnet RMSE 145 : 0.1434806 


s: 146 
logit 146 : -0.3653358 
logit mean 146 : -0.4127907 
logit RMSE 146 : 0.05710962 

boosting 146 : -0.4381272 
boosting mean 146 : -0.4712279 
boosting RMSE 146 : 0.1303721 

forest 146 : -0.3031471 
forest mean 146 : -0.3704222 
forest RMSE 146 : 0.05669447 

nnet 146 : -0.2620830 
nnet mean 146 : -0.4131566 
nnet RMSE 146 : 0.1434433 


s: 147 
logit 147 : -0.3159461 
logit mean 147 : -0.4121319 
logit RMSE 147 : 0.0573357 

boosting 147 : -0.5834448 
boosting mean 147 : -0.4719913 
boosting RMSE 147 : 0.1308059 

forest 147 : -0.3945264 
forest mean 147 : -0.3705861 
forest RMSE 147 : 0.05650311 

nnet 147 : -0.2117947 
nnet mean 147 : -0.4117868 
nnet RMSE 147 : 0.1437948 


s: 148 
logit 148 : -0.4137193 
logit mean 148 : -0.4121426 
logit RMSE 148 : 0.0571528 

boosting 148 : -0.5144794 
boosting mean 148 : -0.4722784 
boosting RMSE 148 : 0.1307024 

forest 148 : -0.4162046 
forest mean 148 : -0.3708944 
forest RMSE 148 : 0.05632765 

nnet 148 : -0.2399717 
nnet mean 148 : -0.4106259 
nnet RMSE 148 : 0.1439107 


s: 149 
logit 149 : -0.4716969 
logit mean 149 : -0.4125423 
logit RMSE 149 : 0.05726273 

boosting 149 : -0.6025226 
boosting mean 149 : -0.4731525 
boosting RMSE 149 : 0.1313154 

forest 149 : -0.3584383 
forest mean 149 : -0.3708108 
forest RMSE 149 : 0.05624147 

nnet 149 : -0.2723404 
nnet mean 149 : -0.4096978 
nnet RMSE 149 : 0.1438077 


s: 150 
logit 150 : -0.415572 
logit mean 150 : -0.4125625 
logit RMSE 150 : 0.05708569 

boosting 150 : -0.3278220 
boosting mean 150 : -0.4721836 
boosting RMSE 150 : 0.1310096 

forest 150 : -0.3432852 
forest mean 150 : -0.3706273 
forest RMSE 150 : 0.05624464 

nnet 150 : -0.34794 
nnet mean 150 : -0.4092861 
nnet RMSE 150 : 0.1433906 


s: 151 
logit 151 : -0.4138353 
logit mean 151 : -0.4125709 
logit RMSE 151 : 0.05690749 

boosting 151 : -0.5197449 
boosting mean 151 : -0.4724986 
boosting RMSE 151 : 0.1309382 

forest 151 : -0.3476429 
forest mean 151 : -0.3704751 
forest RMSE 151 : 0.05621978 

nnet 151 : -0.4711578 
nnet mean 151 : -0.4096958 
nnet RMSE 151 : 0.1430323 


s: 152 
logit 152 : -0.4514073 
logit mean 152 : -0.4128264 
logit RMSE 152 : 0.05687304 

boosting 152 : -0.2270034 
boosting mean 152 : -0.4708835 
boosting RMSE 152 : 0.1312589 

forest 152 : -0.3576738 
forest mean 152 : -0.3703908 
forest RMSE 152 : 0.05613961 

nnet 152 : -0.3562361 
nnet mean 152 : -0.4093441 
nnet RMSE 152 : 0.1426052 


s: 153 
logit 153 : -0.4201704 
logit mean 153 : -0.4128744 
logit RMSE 153 : 0.05671033 

boosting 153 : -0.4996382 
boosting mean 153 : -0.4710714 
boosting RMSE 153 : 0.1310770 

forest 153 : -0.3179659 
forest mean 153 : -0.3700482 
forest RMSE 153 : 0.0563475 

nnet 153 : -0.6184733 
nnet mean 153 : -0.4107109 
nnet RMSE 153 : 0.1432316 


s: 154 
logit 154 : -0.4714464 
logit mean 154 : -0.4132548 
logit RMSE 154 : 0.05681835 

boosting 154 : -0.4296809 
boosting mean 154 : -0.4708027 
boosting RMSE 154 : 0.1306727 

forest 154 : -0.3783817 
forest mean 154 : -0.3701023 
forest RMSE 154 : 0.05619127 

nnet 154 : -0.5809395 
nnet mean 154 : -0.4118163 
nnet RMSE 154 : 0.1435084 


s: 155 
logit 155 : -0.3744592 
logit mean 155 : -0.4130045 
logit RMSE 155 : 0.05667191 

boosting 155 : -0.491244 
boosting mean 155 : -0.4709345 
boosting RMSE 155 : 0.1304565 

forest 155 : -0.3856532 
forest mean 155 : -0.3702026 
forest RMSE 155 : 0.05602157 

nnet 155 : -0.5398867 
nnet mean 155 : -0.4126426 
nnet RMSE 155 : 0.1434853 


s: 156 
logit 156 : -0.4560156 
logit mean 156 : -0.4132802 
logit RMSE 156 : 0.05666773 

boosting 156 : -0.551703 
boosting mean 156 : -0.4714523 
boosting RMSE 156 : 0.1306037 

forest 156 : -0.4030407 
forest mean 156 : -0.3704131 
forest RMSE 156 : 0.05584225 

nnet 156 : -0.3805183 
nnet mean 156 : -0.4124367 
nnet RMSE 156 : 0.1430332 


s: 157 
logit 157 : -0.4502409 
logit mean 157 : -0.4135156 
logit RMSE 157 : 0.0566291 

boosting 157 : -0.581111 
boosting mean 157 : -0.4721508 
boosting RMSE 157 : 0.1309870 

forest 157 : -0.3490347 
forest mean 157 : -0.370277 
forest RMSE 157 : 0.05581254 

nnet 157 : -0.4812692 
nnet mean 157 : -0.4128751 
nnet RMSE 157 : 0.1427244 


s: 158 
logit 158 : -0.4071973 
logit mean 158 : -0.4134756 
logit RMSE 158 : 0.05645251 

boosting 158 : -0.3941725 
boosting mean 158 : -0.4716572 
boosting RMSE 158 : 0.1305727 

forest 158 : -0.4386532 
forest mean 158 : -0.3707097 
forest RMSE 158 : 0.05572055 

nnet 158 : -0.3995026 
nnet mean 158 : -0.4127905 
nnet RMSE 158 : 0.1422720 


s: 159 
logit 159 : -0.581983 
logit mean 159 : -0.4145354 
logit RMSE 159 : 0.05809588 

boosting 159 : -0.537724 
boosting mean 159 : -0.4720727 
boosting RMSE 159 : 0.1306189 

forest 159 : -0.401845 
forest mean 159 : -0.3709056 
forest RMSE 159 : 0.05554525 

nnet 159 : -0.4096132 
nnet mean 159 : -0.4127705 
nnet RMSE 159 : 0.1418260 


s: 160 
logit 160 : -0.4106273 
logit mean 160 : -0.414511 
logit RMSE 160 : 0.05792014 

boosting 160 : -0.4451536 
boosting mean 160 : -0.4719045 
boosting RMSE 160 : 0.1302590 

forest 160 : -0.3893287 
forest mean 160 : -0.3710207 
forest RMSE 160 : 0.05537782 

nnet 160 : -0.2178352 
nnet mean 160 : -0.4115521 
nnet RMSE 160 : 0.1421137 


s: 161 
logit 161 : -0.5196815 
logit mean 161 : -0.4151642 
logit RMSE 161 : 0.05850532 

boosting 161 : -0.1824921 
boosting mean 161 : -0.4701069 
boosting RMSE 161 : 0.1309804 

forest 161 : -0.3582857 
forest mean 161 : -0.3709416 
forest RMSE 161 : 0.05530338 

nnet 161 : -0.4071936 
nnet mean 161 : -0.4115251 
nnet RMSE 161 : 0.1416728 


s: 162 
logit 162 : -0.3985773 
logit mean 162 : -0.4150618 
logit RMSE 162 : 0.05832458 

boosting 162 : -0.3240889 
boosting mean 162 : -0.4692055 
boosting RMSE 162 : 0.1307116 

forest 162 : -0.3372133 
forest mean 162 : -0.3707334 
forest RMSE 162 : 0.05535267 

nnet 162 : -0.5275626 
nnet mean 162 : -0.4122413 
nnet RMSE 162 : 0.1415900 


s: 163 
logit 163 : -0.4006784 
logit mean 163 : -0.4149736 
logit RMSE 163 : 0.05814541 

boosting 163 : -0.5728943 
boosting mean 163 : -0.4698417 
boosting RMSE 163 : 0.1310118 

forest 163 : -0.3582982 
forest mean 163 : -0.3706571 
forest RMSE 163 : 0.0552792 

nnet 163 : -0.4606691 
nnet mean 163 : -0.4125384 
nnet RMSE 163 : 0.1412349 


s: 164 
logit 164 : -0.465678 
logit mean 164 : -0.4152828 
logit RMSE 164 : 0.0581943 

boosting 164 : -0.6742316 
boosting mean 164 : -0.471088 
boosting RMSE 164 : 0.1323556 

forest 164 : -0.3445391 
forest mean 164 : -0.3704979 
forest RMSE 164 : 0.05528031 

nnet 164 : -0.612799 
nnet mean 164 : -0.4137595 
nnet RMSE 164 : 0.1417808 


s: 165 
logit 165 : -0.5501827 
logit mean 165 : -0.4161003 
logit RMSE 165 : 0.05918402 

boosting 165 : -0.3551974 
boosting mean 165 : -0.4703856 
boosting RMSE 165 : 0.1320000 

forest 165 : -0.3192966 
forest mean 165 : -0.3701875 
forest RMSE 165 : 0.0554695 

nnet 165 : -0.3858823 
nnet mean 165 : -0.4135906 
nnet RMSE 165 : 0.1413548 


s: 166 
logit 166 : -0.4609565 
logit mean 166 : -0.4163706 
logit RMSE 166 : 0.05919485 

boosting 166 : -0.4037583 
boosting mean 166 : -0.4699842 
boosting RMSE 166 : 0.1316021 

forest 166 : -0.3742523 
forest mean 166 : -0.370212 
forest RMSE 166 : 0.05533827 

nnet 166 : -0.58956 
nnet mean 166 : -0.4146506 
nnet RMSE 166 : 0.1416943 


s: 167 
logit 167 : -0.3437116 
logit mean 167 : -0.4159355 
logit RMSE 167 : 0.05917787 

boosting 167 : -0.4969404 
boosting mean 167 : -0.4701456 
boosting RMSE 167 : 0.1314218 

forest 167 : -0.3973211 
forest mean 167 : -0.3703744 
forest RMSE 167 : 0.05517272 

nnet 167 : -0.2829507 
nnet mean 167 : -0.413862 
nnet RMSE 167 : 0.1415595 


s: 168 
logit 168 : -0.3592659 
logit mean 168 : -0.4155982 
logit RMSE 168 : 0.05908512 

boosting 168 : -0.3678860 
boosting mean 168 : -0.4695369 
boosting RMSE 168 : 0.1310535 

forest 168 : -0.3471548 
forest mean 168 : -0.3702361 
forest RMSE 168 : 0.05515916 

nnet 168 : -0.3717348 
nnet mean 168 : -0.4136113 
nnet RMSE 168 : 0.1411544 


s: 169 
logit 169 : -0.4282868 
logit mean 169 : -0.4156732 
logit RMSE 169 : 0.05895023 

boosting 169 : -0.4676239 
boosting mean 169 : -0.4695256 
boosting RMSE 169 : 0.1307687 

forest 169 : -0.3717042 
forest mean 169 : -0.3702448 
forest RMSE 169 : 0.05503878 

nnet 169 : -0.4311092 
nnet mean 169 : -0.4137148 
nnet RMSE 169 : 0.1407565 


s: 170 
logit 170 : -0.3580015 
logit mean 170 : -0.415334 
logit RMSE 170 : 0.05886479 

boosting 170 : -0.606124 
boosting mean 170 : -0.4703291 
boosting RMSE 170 : 0.1313384 

forest 170 : -0.3173678 
forest mean 170 : -0.3699338 
forest RMSE 170 : 0.05524141 

nnet 170 : -0.4293188 
nnet mean 170 : -0.4138066 
nnet RMSE 170 : 0.1403599 


s: 171 
logit 171 : -0.4329039 
logit mean 171 : -0.4154367 
logit RMSE 171 : 0.05874633 

boosting 171 : -0.3939332 
boosting mean 171 : -0.4698824 
boosting RMSE 171 : 0.1309546 

forest 171 : -0.3376182 
forest mean 171 : -0.3697448 
forest RMSE 171 : 0.05528585 

nnet 171 : -0.260589 
nnet mean 171 : -0.4129106 
nnet RMSE 171 : 0.1403544 


s: 172 
logit 172 : -0.440714 
logit mean 172 : -0.4155837 
logit RMSE 172 : 0.05865751 

boosting 172 : -0.4708576 
boosting mean 172 : -0.4698881 
boosting RMSE 172 : 0.1306851 

forest 172 : -0.3311975 
forest mean 172 : -0.3695207 
forest RMSE 172 : 0.05537397 

nnet 172 : -0.6498641 
nnet mean 172 : -0.4142882 
nnet RMSE 172 : 0.1412367 


s: 173 
logit 173 : -0.3362091 
logit mean 173 : -0.4151249 
logit RMSE 173 : 0.05868848 

boosting 173 : -0.4004535 
boosting mean 173 : -0.4694867 
boosting RMSE 173 : 0.1303069 

forest 173 : -0.3226416 
forest mean 173 : -0.3692497 
forest RMSE 173 : 0.05552606 

nnet 173 : -0.4666068 
nnet mean 173 : -0.4145906 
nnet RMSE 173 : 0.1409189 


s: 174 
logit 174 : -0.3884417 
logit mean 174 : -0.4149715 
logit RMSE 174 : 0.05852615 

boosting 174 : -0.3280378 
boosting mean 174 : -0.4686738 
boosting RMSE 174 : 0.1300464 

forest 174 : -0.4002821 
forest mean 174 : -0.3694281 
forest RMSE 174 : 0.05536628 

nnet 174 : -0.450568 
nnet mean 174 : -0.4147974 
nnet RMSE 174 : 0.1405657 


s: 175 
logit 175 : -0.3333658 
logit mean 175 : -0.4145052 
logit RMSE 175 : 0.05857567 

boosting 175 : -0.4022562 
boosting mean 175 : -0.4682942 
boosting RMSE 175 : 0.1296744 

forest 175 : -0.2799380 
forest mean 175 : -0.3689167 
forest RMSE 175 : 0.0559489 

nnet 175 : -0.3692432 
nnet mean 175 : -0.4145371 
nnet RMSE 175 : 0.1401828 


s: 176 
logit 176 : -0.5706 
logit mean 176 : -0.4153921 
logit RMSE 176 : 0.05980786 

boosting 176 : -0.456766 
boosting mean 176 : -0.4682287 
boosting RMSE 176 : 0.1293762 

forest 176 : -0.4348087 
forest mean 176 : -0.3692911 
forest RMSE 176 : 0.05585139 

nnet 176 : -0.08575712 
nnet mean 176 : -0.412669 
nnet RMSE 176 : 0.1417767 


s: 177 
logit 177 : -0.4338743 
logit mean 177 : -0.4154965 
logit RMSE 177 : 0.059693 

boosting 177 : -0.5082844 
boosting mean 177 : -0.4684550 
boosting RMSE 177 : 0.1292668 

forest 177 : -0.3541216 
forest mean 177 : -0.3692054 
forest RMSE 177 : 0.05580005 

nnet 177 : -0.4350813 
nnet mean 177 : -0.4127956 
nnet RMSE 177 : 0.1414002 


s: 178 
logit 178 : -0.4408592 
logit mean 178 : -0.415639 
logit RMSE 178 : 0.05960381 

boosting 178 : -0.6490006 
boosting mean 178 : -0.4694693 
boosting RMSE 178 : 0.1302472 

forest 178 : -0.4363856 
forest mean 178 : -0.3695828 
forest RMSE 178 : 0.05570988 

nnet 178 : -0.4200728 
nnet mean 178 : -0.4128365 
nnet RMSE 178 : 0.1410105 


s: 179 
logit 179 : -0.4568289 
logit mean 179 : -0.4158691 
logit RMSE 179 : 0.05958867 

boosting 179 : -0.3901339 
boosting mean 179 : -0.4690261 
boosting RMSE 179 : 0.129885 

forest 179 : -0.3389323 
forest mean 179 : -0.3694116 
forest RMSE 179 : 0.05574125 

nnet 179 : -0.7091426 
nnet mean 179 : -0.4144919 
nnet RMSE 179 : 0.1425018 


s: 180 
logit 180 : -0.3949943 
logit mean 180 : -0.4157532 
logit RMSE 180 : 0.05942408 

boosting 180 : -0.4246636 
boosting mean 180 : -0.4687797 
boosting RMSE 180 : 0.1295367 

forest 180 : -0.4690085 
forest mean 180 : -0.3699649 
forest RMSE 180 : 0.05582366 

nnet 180 : -0.3329887 
nnet mean 180 : -0.4140391 
nnet RMSE 180 : 0.1421932 


s: 181 
logit 181 : -0.4536022 
logit mean 181 : -0.4159623 
logit RMSE 181 : 0.05939349 

boosting 181 : -0.5898521 
boosting mean 181 : -0.4694486 
boosting RMSE 181 : 0.1299469 

forest 181 : -0.4958087 
forest mean 181 : -0.3706602 
forest RMSE 181 : 0.05612289 

nnet 181 : -0.7680254 
nnet mean 181 : -0.4159948 
nnet RMSE 181 : 0.1444143 


s: 182 
logit 182 : -0.4558256 
logit mean 182 : -0.4161813 
logit RMSE 182 : 0.05937447 

boosting 182 : -0.5779663 
boosting mean 182 : -0.4700448 
boosting RMSE 182 : 0.1302591 

forest 182 : -0.3921595 
forest mean 182 : -0.3707783 
forest RMSE 182 : 0.05597151 

nnet 182 : -0.4986625 
nnet mean 182 : -0.416449 
nnet RMSE 182 : 0.1442026 


s: 183 
logit 183 : -0.4307448 
logit mean 183 : -0.4162609 
logit RMSE 183 : 0.05925562 

boosting 183 : -0.4040898 
boosting mean 183 : -0.4696844 
boosting RMSE 183 : 0.1299031 

forest 183 : -0.3748187 
forest mean 183 : -0.3708004 
forest RMSE 183 : 0.0558494 

nnet 183 : -0.5272966 
nnet mean 183 : -0.4170547 
nnet RMSE 183 : 0.1441156 


s: 184 
logit 184 : -0.3887285 
logit mean 184 : -0.4161113 
logit RMSE 184 : 0.05910022 

boosting 184 : -0.5263036 
boosting mean 184 : -0.4699921 
boosting RMSE 184 : 0.1298838 

forest 184 : -0.406631 
forest mean 184 : -0.3709951 
forest RMSE 184 : 0.05569958 

nnet 184 : -0.5331397 
nnet mean 184 : -0.4176856 
nnet RMSE 184 : 0.1440582 


s: 185 
logit 185 : -0.533003 
logit mean 185 : -0.4167431 
logit RMSE 185 : 0.05974594 

boosting 185 : -0.6254259 
boosting mean 185 : -0.4708323 
boosting RMSE 185 : 0.1305883 

forest 185 : -0.447723 
forest mean 185 : -0.3714098 
forest RMSE 185 : 0.05565953 

nnet 185 : -0.4820734 
nnet mean 185 : -0.4180337 
nnet RMSE 185 : 0.1437950 


s: 186 
logit 186 : -0.4551218 
logit mean 186 : -0.4169494 
logit RMSE 186 : 0.05972203 

boosting 186 : -0.5342566 
boosting mean 186 : -0.4711733 
boosting RMSE 186 : 0.1306083 

forest 186 : -0.2918781 
forest mean 186 : -0.3709822 
forest RMSE 186 : 0.05607298 

nnet 186 : -0.2127674 
nnet mean 186 : -0.4169301 
nnet RMSE 186 : 0.1440636 


s: 187 
logit 187 : -0.5241995 
logit mean 187 : -0.417523 
logit RMSE 187 : 0.06025062 

boosting 187 : -0.4249202 
boosting mean 187 : -0.470926 
boosting RMSE 187 : 0.1302713 

forest 187 : -0.4090873 
forest mean 187 : -0.371186 
forest RMSE 187 : 0.0559268 

nnet 187 : -0.5227 
nnet mean 187 : -0.4174957 
nnet RMSE 187 : 0.1439578 


s: 188 
logit 188 : -0.5008042 
logit mean 188 : -0.4179660 
logit RMSE 188 : 0.06053824 

boosting 188 : -0.3728785 
boosting mean 188 : -0.4704044 
boosting RMSE 188 : 0.1299395 

forest 188 : -0.3671503 
forest mean 188 : -0.3711645 
forest RMSE 188 : 0.05582929 

nnet 188 : -0.3809747 
nnet mean 188 : -0.4173015 
nnet RMSE 188 : 0.1435811 


s: 189 
logit 189 : -0.4765355 
logit mean 189 : -0.4182758 
logit RMSE 189 : 0.06063399 

boosting 189 : -0.4039406 
boosting mean 189 : -0.4700528 
boosting RMSE 189 : 0.1295956 

forest 189 : -0.3670604 
forest mean 189 : -0.3711428 
forest RMSE 189 : 0.05573292 

nnet 189 : -0.2602988 
nnet mean 189 : -0.4164708 
nnet RMSE 189 : 0.1435608 


s: 190 
logit 190 : -0.3995488 
logit mean 190 : -0.4181773 
logit RMSE 190 : 0.06047422 

boosting 190 : -0.5050511 
boosting mean 190 : -0.470237 
boosting RMSE 190 : 0.1294786 

forest 190 : -0.3110598 
forest mean 190 : -0.3708266 
forest RMSE 190 : 0.05595931 

nnet 190 : -0.3918509 
nnet mean 190 : -0.4163412 
nnet RMSE 190 : 0.1431838 


s: 191 
logit 191 : -0.4308198 
logit mean 191 : -0.4182435 
logit RMSE 191 : 0.06035692 

boosting 191 : -0.3837051 
boosting mean 191 : -0.4697839 
boosting RMSE 191 : 0.1291446 

forest 191 : -0.4282787 
forest mean 191 : -0.3711274 
forest RMSE 191 : 0.05585012 

nnet 191 : -0.4032255 
nnet mean 191 : -0.4162725 
nnet RMSE 191 : 0.1428086 


s: 192 
logit 192 : -0.4594874 
logit mean 192 : -0.4184583 
logit RMSE 192 : 0.06035242 

boosting 192 : -0.6150401 
boosting mean 192 : -0.4705405 
boosting RMSE 192 : 0.1297393 

forest 192 : -0.3098174 
forest mean 192 : -0.3708081 
forest RMSE 192 : 0.05608341 

nnet 192 : -0.4240685 
nnet mean 192 : -0.4163131 
nnet RMSE 192 : 0.1424469 


s: 193 
logit 193 : -0.4346510 
logit mean 193 : -0.4185422 
logit RMSE 193 : 0.06024752 

boosting 193 : -0.384932 
boosting mean 193 : -0.4700969 
boosting RMSE 193 : 0.1294073 

forest 193 : -0.4199252 
forest mean 193 : -0.3710626 
forest RMSE 193 : 0.05595631 

nnet 193 : -0.6077883 
nnet mean 193 : -0.4173052 
nnet RMSE 193 : 0.1428625 


s: 194 
logit 194 : -0.3666175 
logit mean 194 : -0.4182745 
logit RMSE 194 : 0.06013982 

boosting 194 : -0.537016 
boosting mean 194 : -0.4704419 
boosting RMSE 194 : 0.1294477 

forest 194 : -0.4887657 
forest mean 194 : -0.3716693 
forest RMSE 194 : 0.05617459 

nnet 194 : -0.4510987 
nnet mean 194 : -0.4174794 
nnet RMSE 194 : 0.142541 


s: 195 
logit 195 : -0.390361 
logit mean 195 : -0.4181314 
logit RMSE 195 : 0.05998938 

boosting 195 : -0.3483372 
boosting mean 195 : -0.4698157 
boosting RMSE 195 : 0.1291683 

forest 195 : -0.3836477 
forest mean 195 : -0.3717307 
forest RMSE 195 : 0.0560426 

nnet 195 : -0.4235689 
nnet mean 195 : -0.4175106 
nnet RMSE 195 : 0.1421851 


s: 196 
logit 196 : -0.3886419 
logit mean 196 : -0.4179809 
logit RMSE 196 : 0.05984165 

boosting 196 : -0.4274858 
boosting mean 196 : -0.4695997 
boosting RMSE 196 : 0.1288534 

forest 196 : -0.3185287 
forest mean 196 : -0.3714593 
forest RMSE 196 : 0.05620155 

nnet 196 : -0.4207967 
nnet mean 196 : -0.4175274 
nnet RMSE 196 : 0.1418296 


s: 197 
logit 197 : -0.4150042 
logit mean 197 : -0.4179658 
logit RMSE 197 : 0.05969915 

boosting 197 : -0.5241256 
boosting mean 197 : -0.4698765 
boosting RMSE 197 : 0.1288298 

forest 197 : -0.3581355 
forest mean 197 : -0.3713916 
forest RMSE 197 : 0.05613802 

nnet 197 : -0.6040203 
nnet mean 197 : -0.4184741 
nnet RMSE 197 : 0.1422140 


s: 198 
logit 198 : -0.3375926 
logit mean 198 : -0.4175599 
logit RMSE 198 : 0.05971314 

boosting 198 : -0.6075585 
boosting mean 198 : -0.4705719 
boosting RMSE 198 : 0.1293479 

forest 198 : -0.3997096 
forest mean 198 : -0.3715347 
forest RMSE 198 : 0.05599608 

nnet 198 : -0.3070322 
nnet mean 198 : -0.4179112 
nnet RMSE 198 : 0.1420082 


s: 199 
logit 199 : -0.3625301 
logit mean 199 : -0.4172834 
logit RMSE 199 : 0.05962211 

boosting 199 : -0.4950924 
boosting mean 199 : -0.4706951 
boosting RMSE 199 : 0.1291985 

forest 199 : -0.3253111 
forest mean 199 : -0.3713024 
forest RMSE 199 : 0.05610558 

nnet 199 : -0.5048841 
nnet mean 199 : -0.4183483 
nnet RMSE 199 : 0.1418460 


s: 200 
logit 200 : -0.4044563 
logit mean 200 : -0.4172192 
logit RMSE 200 : 0.0594737 

boosting 200 : -0.3758343 
boosting mean 200 : -0.4702208 
boosting RMSE 200 : 0.1288864 

forest 200 : -0.3015654 
forest mean 200 : -0.3709537 
forest RMSE 200 : 0.05639631 

nnet 200 : -0.2380246 
nnet mean 200 : -0.4174467 
nnet RMSE 200 : 0.1419537 


s: 201 
logit 201 : -0.3353322 
logit mean 201 : -0.4168118 
logit RMSE 201 : 0.05950067 

boosting 201 : -0.2980534 
boosting mean 201 : -0.4693642 
boosting RMSE 201 : 0.1287663 

forest 201 : -0.3752514 
forest mean 201 : -0.3709751 
forest RMSE 201 : 0.05628293 

nnet 201 : -0.2504316 
nnet mean 201 : -0.4166157 
nnet RMSE 201 : 0.1419926 


s: 202 
logit 202 : -0.4113161 
logit mean 202 : -0.4167846 
logit RMSE 202 : 0.05935855 

boosting 202 : -0.4005284 
boosting mean 202 : -0.4690234 
boosting RMSE 202 : 0.1284472 

forest 202 : -0.3682445 
forest mean 202 : -0.3709616 
forest RMSE 202 : 0.05618788 

nnet 202 : -0.3110748 
nnet mean 202 : -0.4160933 
nnet RMSE 202 : 0.1417788 


s: 203 
logit 203 : -0.4338569 
logit mean 203 : -0.4168687 
logit RMSE 203 : 0.05925983 

boosting 203 : -0.2905929 
boosting mean 203 : -0.4681445 
boosting RMSE 203 : 0.1283603 

forest 203 : -0.2834152 
forest mean 203 : -0.3705303 
forest RMSE 203 : 0.05664346 

nnet 203 : -0.07318367 
nnet mean 203 : -0.4144040 
nnet RMSE 203 : 0.1432772 


s: 204 
logit 204 : -0.4533014 
logit mean 204 : -0.4170473 
logit RMSE 204 : 0.05923208 

boosting 204 : -0.331437 
boosting mean 204 : -0.4674743 
boosting RMSE 204 : 0.1281353 

forest 204 : -0.2154959 
forest mean 204 : -0.3697703 
forest RMSE 204 : 0.05796227 

nnet 204 : -0.2895395 
nnet mean 204 : -0.413792 
nnet RMSE 204 : 0.1431347 


s: 205 
logit 205 : -0.5121937 
logit mean 205 : -0.4175114 
logit RMSE 205 : 0.05960476 

boosting 205 : -0.3162808 
boosting mean 205 : -0.4667368 
boosting RMSE 205 : 0.1279560 

forest 205 : -0.3779903 
forest mean 205 : -0.3698104 
forest RMSE 205 : 0.05784116 

nnet 205 : -0.5949171 
nnet mean 205 : -0.4146755 
nnet RMSE 205 : 0.1434327 


s: 206 
logit 206 : -0.4000698 
logit mean 206 : -0.4174268 
logit RMSE 206 : 0.05945991 

boosting 206 : -0.2530157 
boosting mean 206 : -0.4656993 
boosting RMSE 206 : 0.1280552 

forest 206 : -0.3931186 
forest mean 206 : -0.3699236 
forest RMSE 206 : 0.05770259 

nnet 206 : -0.6052331 
nnet mean 206 : -0.4156005 
nnet RMSE 206 : 0.1437969 


s: 207 
logit 207 : -0.4022528 
logit mean 207 : -0.4173535 
logit RMSE 207 : 0.05931632 

boosting 207 : -0.5141693 
boosting mean 207 : -0.4659335 
boosting RMSE 207 : 0.1279918 

forest 207 : -0.3905342 
forest mean 207 : -0.3700231 
forest RMSE 207 : 0.0575668 

nnet 207 : -0.542048 
nnet mean 207 : -0.4162114 
nnet RMSE 207 : 0.1437885 


s: 208 
logit 208 : -0.4127292 
logit mean 208 : -0.4173312 
logit RMSE 208 : 0.05918014 

boosting 208 : -0.4223438 
boosting mean 208 : -0.4657239 
boosting RMSE 208 : 0.1276931 

forest 208 : -0.3999143 
forest mean 208 : -0.3701669 
forest RMSE 208 : 0.05742826 

nnet 208 : -0.5132275 
nnet mean 208 : -0.4166778 
nnet RMSE 208 : 0.1436571 


s: 209 
logit 209 : -0.4467958 
logit mean 209 : -0.4174722 
logit RMSE 209 : 0.05912706 

boosting 209 : -0.435277 
boosting mean 209 : -0.4655782 
boosting RMSE 209 : 0.1274106 

forest 209 : -0.3228761 
forest mean 209 : -0.3699406 
forest RMSE 209 : 0.05753855 

nnet 209 : -0.1915689 
nnet mean 209 : -0.4156007 
nnet RMSE 209 : 0.1440364 


s: 210 
logit 210 : -0.4262577 
logit mean 210 : -0.4175141 
logit RMSE 210 : 0.05901394 

boosting 210 : -0.4939812 
boosting mean 210 : -0.4657135 
boosting RMSE 210 : 0.1272723 

forest 210 : -0.4447239 
forest mean 210 : -0.3702967 
forest RMSE 210 : 0.05748429 

nnet 210 : -0.3105322 
nnet mean 210 : -0.4151004 
nnet RMSE 210 : 0.1438256 


s: 211 
logit 211 : -0.3904431 
logit mean 211 : -0.4173858 
logit RMSE 211 : 0.0588776 

boosting 211 : -0.3167136 
boosting mean 211 : -0.4650073 
boosting RMSE 211 : 0.1270997 

forest 211 : -0.4089595 
forest mean 211 : -0.3704799 
forest RMSE 211 : 0.05735123 

nnet 211 : -0.3308702 
nnet mean 211 : -0.4147012 
nnet RMSE 211 : 0.1435633 


s: 212 
logit 212 : -0.404199 
logit mean 212 : -0.4173236 
logit RMSE 212 : 0.05873929 

boosting 212 : -0.7423788 
boosting mean 212 : -0.4663157 
boosting RMSE 212 : 0.1289615 

forest 212 : -0.3800945 
forest mean 212 : -0.3705253 
forest RMSE 212 : 0.05723214 

nnet 212 : -0.2189883 
nnet mean 212 : -0.4137780 
nnet RMSE 212 : 0.1437628 


s: 213 
logit 213 : -0.4207272 
logit mean 213 : -0.4173395 
logit RMSE 213 : 0.05861845 

boosting 213 : -0.4566267 
boosting mean 213 : -0.4662702 
boosting RMSE 213 : 0.1287169 

forest 213 : -0.3704454 
forest mean 213 : -0.3705249 
forest RMSE 213 : 0.05713353 

nnet 213 : -0.3055888 
nnet mean 213 : -0.4132701 
nnet RMSE 213 : 0.1435708 


s: 214 
logit 214 : -0.3661824 
logit mean 214 : -0.4171005 
logit RMSE 214 : 0.058527 

boosting 214 : -0.4809965 
boosting mean 214 : -0.466339 
boosting RMSE 214 : 0.1285351 

forest 214 : -0.4272587 
forest mean 214 : -0.37079 
forest RMSE 214 : 0.05703034 

nnet 214 : -0.536933 
nnet mean 214 : -0.413848 
nnet RMSE 214 : 0.1435405 


s: 215 
logit 215 : -0.3902578 
logit mean 215 : -0.4169756 
logit RMSE 215 : 0.05839451 

boosting 215 : -0.319157 
boosting mean 215 : -0.4656544 
boosting RMSE 215 : 0.1283544 

forest 215 : -0.4380629 
forest mean 215 : -0.3711029 
forest RMSE 215 : 0.05695674 

nnet 215 : -0.5193757 
nnet mean 215 : -0.4143388 
nnet RMSE 215 : 0.1434375 


s: 216 
logit 216 : -0.4403352 
logit mean 216 : -0.4170838 
logit RMSE 216 : 0.05832379 

boosting 216 : -0.5946438 
boosting mean 216 : -0.4662516 
boosting RMSE 216 : 0.1287399 

forest 216 : -0.4084505 
forest mean 216 : -0.3712758 
forest RMSE 216 : 0.05682765 

nnet 216 : -0.5006066 
nnet mean 216 : -0.4147382 
nnet RMSE 216 : 0.1432687 


s: 217 
logit 217 : -0.4164345 
logit mean 217 : -0.4170808 
logit RMSE 217 : 0.05819994 

boosting 217 : -0.3550258 
boosting mean 217 : -0.4657391 
boosting RMSE 217 : 0.1284792 

forest 217 : -0.3434967 
forest mean 217 : -0.3711478 
forest RMSE 217 : 0.05682616 

nnet 217 : -0.4103877 
nnet mean 217 : -0.4147181 
nnet RMSE 217 : 0.1429400 


s: 218 
logit 218 : -0.412749 
logit mean 218 : -0.4170609 
logit RMSE 218 : 0.05807272 

boosting 218 : -0.5813992 
boosting mean 218 : -0.4662696 
boosting RMSE 218 : 0.1287716 

forest 218 : -0.3990983 
forest mean 218 : -0.371276 
forest RMSE 218 : 0.05669571 

nnet 218 : -0.6293158 
nnet mean 218 : -0.4157025 
nnet RMSE 218 : 0.1434550 


s: 219 
logit 219 : -0.3559611 
logit mean 219 : -0.4167819 
logit RMSE 219 : 0.05801636 

boosting 219 : -0.3784925 
boosting mean 219 : -0.4658688 
boosting RMSE 219 : 0.1284855 

forest 219 : -0.3351143 
forest mean 219 : -0.3711109 
forest RMSE 219 : 0.05673579 

nnet 219 : -0.250322 
nnet mean 219 : -0.4149474 
nnet RMSE 219 : 0.143484 


s: 220 
logit 220 : -0.3897092 
logit mean 220 : -0.4166589 
logit RMSE 220 : 0.05788851 

boosting 220 : -0.3587630 
boosting mean 220 : -0.4653820 
boosting RMSE 220 : 0.1282233 

forest 220 : -0.3218527 
forest mean 220 : -0.370887 
forest RMSE 220 : 0.05685136 

nnet 220 : -0.3243666 
nnet mean 220 : -0.4145356 
nnet RMSE 220 : 0.1432483 


s: 221 
logit 221 : -0.4798434 
logit mean 221 : -0.4169448 
logit RMSE 221 : 0.05800657 

boosting 221 : -0.7377577 
boosting mean 221 : -0.4666144 
boosting RMSE 221 : 0.1299347 

forest 221 : -0.3271822 
forest mean 221 : -0.3706892 
forest RMSE 221 : 0.0569337 

nnet 221 : -0.1238675 
nnet mean 221 : -0.4132204 
nnet RMSE 221 : 0.1441258 


s: 222 
logit 222 : -0.1635647 
logit mean 222 : -0.4158034 
logit RMSE 222 : 0.06001179 

boosting 222 : -0.4096286 
boosting mean 222 : -0.4663577 
boosting RMSE 222 : 0.1296433 

forest 222 : -0.2999209 
forest mean 222 : -0.3703705 
forest RMSE 222 : 0.05720106 

nnet 222 : -0.2874989 
nnet mean 222 : -0.4126541 
nnet RMSE 222 : 0.1439989 


s: 223 
logit 223 : -0.3967444 
logit mean 223 : -0.4157179 
logit RMSE 223 : 0.05987748 

boosting 223 : -0.4914059 
boosting mean 223 : -0.4664701 
boosting RMSE 223 : 0.1294971 

forest 223 : -0.3580975 
forest mean 223 : -0.3703154 
forest RMSE 223 : 0.0571416 

nnet 223 : -0.2922586 
nnet mean 223 : -0.4121142 
nnet RMSE 223 : 0.1438567 


s: 224 
logit 224 : -0.4453518 
logit mean 224 : -0.4158502 
logit RMSE 224 : 0.05982047 

boosting 224 : -0.3677036 
boosting mean 224 : -0.4660291 
boosting RMSE 224 : 0.1292257 

forest 224 : -0.3135608 
forest mean 224 : -0.3700621 
forest RMSE 224 : 0.05730568 

nnet 224 : -0.2518812 
nnet mean 224 : -0.4113989 
nnet RMSE 224 : 0.1438760 


s: 225 
logit 225 : -0.4479592 
logit mean 225 : -0.4159929 
logit RMSE 225 : 0.05977296 

boosting 225 : -0.6439161 
boosting mean 225 : -0.4668197 
boosting RMSE 225 : 0.1299596 

forest 225 : -0.3869116 
forest mean 225 : -0.3701369 
forest RMSE 225 : 0.05718485 

nnet 225 : -0.2715211 
nnet mean 225 : -0.4107772 
nnet RMSE 225 : 0.1438113 


s: 226 
logit 226 : -0.4015996 
logit mean 226 : -0.4159293 
logit RMSE 226 : 0.05964067 

boosting 226 : -0.4289917 
boosting mean 226 : -0.4666524 
boosting RMSE 226 : 0.1296861 

forest 226 : -0.3018472 
forest mean 226 : -0.3698348 
forest RMSE 226 : 0.05743053 

nnet 226 : -0.606752 
nnet mean 226 : -0.4116443 
nnet RMSE 226 : 0.1441503 


s: 227 
logit 227 : -0.4904423 
logit mean 227 : -0.4162575 
logit RMSE 227 : 0.05981115 

boosting 227 : -0.4094295 
boosting mean 227 : -0.4664003 
boosting RMSE 227 : 0.1294016 

forest 227 : -0.4464757 
forest mean 227 : -0.3701724 
forest RMSE 227 : 0.05738686 

nnet 227 : -0.8137713 
nnet mean 227 : -0.4134158 
nnet RMSE 227 : 0.1464308 


s: 228 
logit 228 : -0.4061477 
logit mean 228 : -0.4162132 
logit RMSE 228 : 0.05968123 

boosting 228 : -0.6057247 
boosting mean 228 : -0.4670113 
boosting RMSE 228 : 0.1298343 

forest 228 : -0.3812431 
forest mean 228 : -0.3702210 
forest RMSE 228 : 0.05727435 

nnet 228 : -0.3333148 
nnet mean 228 : -0.4130645 
nnet RMSE 228 : 0.1461761 


s: 229 
logit 229 : -0.4329464 
logit mean 229 : -0.4162862 
logit RMSE 229 : 0.05959057 

boosting 229 : -0.5084519 
boosting mean 229 : -0.4671923 
boosting RMSE 229 : 0.1297486 

forest 229 : -0.3759438 
forest mean 229 : -0.3702459 
forest RMSE 229 : 0.05717126 

nnet 229 : -0.2513654 
nnet mean 229 : -0.4123584 
nnet RMSE 229 : 0.1461869 


s: 230 
logit 230 : -0.4239572 
logit mean 230 : -0.4163196 
logit RMSE 230 : 0.05948186 

boosting 230 : -0.6316039 
boosting mean 230 : -0.4679071 
boosting RMSE 230 : 0.1303638 

forest 230 : -0.3626627 
forest mean 230 : -0.370213 
forest RMSE 230 : 0.05709994 

nnet 230 : -0.2849133 
nnet mean 230 : -0.4118043 
nnet RMSE 230 : 0.1460660 


s: 231 
logit 231 : -0.3880799 
logit mean 231 : -0.4161973 
logit RMSE 231 : 0.05935815 

boosting 231 : -0.4135292 
boosting mean 231 : -0.4676717 
boosting RMSE 231 : 0.1300844 

forest 231 : -0.3546955 
forest mean 231 : -0.3701458 
forest RMSE 231 : 0.05705413 

nnet 231 : -0.424061 
nnet mean 231 : -0.4118573 
nnet RMSE 231 : 0.1457581 


s: 232 
logit 232 : -0.4513958 
logit mean 232 : -0.4163491 
logit RMSE 232 : 0.05932613 

boosting 232 : -0.5114129 
boosting mean 232 : -0.4678603 
boosting RMSE 232 : 0.1300097 

forest 232 : -0.3650992 
forest mean 232 : -0.3701240 
forest RMSE 232 : 0.05697713 

nnet 232 : -0.6592488 
nnet mean 232 : -0.4129237 
nnet RMSE 232 : 0.1464362 


s: 233 
logit 233 : -0.3797886 
logit mean 233 : -0.4161921 
logit RMSE 233 : 0.05921349 

boosting 233 : -0.4764995 
boosting mean 233 : -0.4678974 
boosting RMSE 233 : 0.1298272 

forest 233 : -0.3675888 
forest mean 233 : -0.3701132 
forest RMSE 233 : 0.05689437 

nnet 233 : -0.2594719 
nnet mean 233 : -0.4122651 
nnet RMSE 233 : 0.1464113 


s: 234 
logit 234 : -0.4014441 
logit mean 234 : -0.4161291 
logit RMSE 234 : 0.0590869 

boosting 234 : -0.4526564 
boosting mean 234 : -0.4678322 
boosting RMSE 234 : 0.1295952 

forest 234 : -0.326505 
forest mean 234 : -0.3699268 
forest RMSE 234 : 0.0569756 

nnet 234 : -0.5200449 
nnet mean 234 : -0.4127257 
nnet RMSE 234 : 0.1463087 


s: 235 
logit 235 : -0.4774379 
logit mean 235 : -0.41639 
logit RMSE 235 : 0.05917705 

boosting 235 : -0.6255047 
boosting mean 235 : -0.4685032 
boosting RMSE 235 : 0.1301531 

forest 235 : -0.345934 
forest mean 235 : -0.3698247 
forest RMSE 235 : 0.05696354 

nnet 235 : -0.4254269 
nnet mean 235 : -0.4127797 
nnet RMSE 235 : 0.1460065 


s: 236 
logit 236 : -0.3146538 
logit mean 236 : -0.4159589 
logit RMSE 236 : 0.0593123 

boosting 236 : -0.4822831 
boosting mean 236 : -0.4685616 
boosting RMSE 236 : 0.1299875 

forest 236 : -0.3962805 
forest mean 236 : -0.3699368 
forest RMSE 236 : 0.05684324 

nnet 236 : -0.1906323 
nnet mean 236 : -0.4118384 
nnet RMSE 236 : 0.1463329 


s: 237 
logit 237 : -0.4534478 
logit mean 237 : -0.4161171 
logit RMSE 237 : 0.05928877 

boosting 237 : -0.4854313 
boosting mean 237 : -0.4686327 
boosting RMSE 237 : 0.1298316 

forest 237 : -0.2848975 
forest mean 237 : -0.369578 
forest RMSE 237 : 0.05721382 

nnet 237 : -0.4359698 
nnet mean 237 : -0.4119403 
nnet RMSE 237 : 0.1460426 


s: 238 
logit 238 : -0.4263723 
logit mean 238 : -0.4161602 
logit RMSE 238 : 0.05918878 

boosting 238 : -0.4151845 
boosting mean 238 : -0.4684082 
boosting RMSE 238 : 0.1295623 

forest 238 : -0.3134604 
forest mean 238 : -0.3693422 
forest RMSE 238 : 0.05736841 

nnet 238 : -0.4773539 
nnet mean 238 : -0.4122151 
nnet RMSE 238 : 0.1458217 


s: 239 
logit 239 : -0.4087842 
logit mean 239 : -0.4161293 
logit RMSE 239 : 0.05906755 

boosting 239 : -0.4368507 
boosting mean 239 : -0.4682761 
boosting RMSE 239 : 0.1293129 

forest 239 : -0.3933639 
forest mean 239 : -0.3694427 
forest RMSE 239 : 0.05724987 

nnet 239 : -0.2939808 
nnet mean 239 : -0.4117204 
nnet RMSE 239 : 0.1456778 


s: 240 
logit 240 : -0.5119411 
logit mean 240 : -0.4165285 
logit RMSE 240 : 0.05938561 

boosting 240 : -0.5708891 
boosting mean 240 : -0.4687037 
boosting RMSE 240 : 0.1295139 

forest 240 : -0.2847102 
forest mean 240 : -0.3690897 
forest RMSE 240 : 0.05761314 

nnet 240 : -0.7192107 
nnet mean 240 : -0.4130016 
nnet RMSE 240 : 0.1468270 


s: 241 
logit 241 : -0.3299649 
logit mean 241 : -0.4161694 
logit RMSE 241 : 0.05943374 

boosting 241 : -0.2520488 
boosting mean 241 : -0.4678047 
boosting RMSE 241 : 0.1295958 

forest 241 : -0.4131714 
forest mean 241 : -0.3692726 
forest RMSE 241 : 0.05749975 

nnet 241 : -0.3605471 
nnet mean 241 : -0.412784 
nnet RMSE 241 : 0.1465441 


s: 242 
logit 242 : -0.3749262 
logit mean 242 : -0.4159989 
logit RMSE 242 : 0.05933271 

boosting 242 : -0.4213276 
boosting mean 242 : -0.4676126 
boosting RMSE 242 : 0.1293350 

forest 242 : -0.3964527 
forest mean 242 : -0.3693849 
forest RMSE 242 : 0.05738128 

nnet 242 : -0.5059359 
nnet mean 242 : -0.4131689 
nnet RMSE 242 : 0.1463994 


s: 243 
logit 243 : -0.440714 
logit mean 243 : -0.4161006 
logit RMSE 243 : 0.05926808 

boosting 243 : -0.5399624 
boosting mean 243 : -0.4679104 
boosting RMSE 243 : 0.1293805 

forest 243 : -0.4227115 
forest mean 243 : -0.3696043 
forest RMSE 243 : 0.05728162 

nnet 243 : -0.5067708 
nnet mean 243 : -0.4135541 
nnet RMSE 243 : 0.1462584 


s: 244 
logit 244 : -0.3805537 
logit mean 244 : -0.415955 
logit RMSE 244 : 0.0591596 

boosting 244 : -0.5171368 
boosting mean 244 : -0.4681121 
boosting RMSE 244 : 0.1293327 

forest 244 : -0.3678101 
forest mean 244 : -0.369597 
forest RMSE 244 : 0.05720125 

nnet 244 : -0.4012229 
nnet mean 244 : -0.4135035 
nnet RMSE 244 : 0.1459584 


s: 245 
logit 245 : -0.4439257 
logit mean 245 : -0.4160691 
logit RMSE 245 : 0.0591054 

boosting 245 : -0.391089 
boosting mean 245 : -0.4677978 
boosting RMSE 245 : 0.1290698 

forest 245 : -0.4841198 
forest mean 245 : -0.3700644 
forest RMSE 245 : 0.05733681 

nnet 245 : -0.4236926 
nnet mean 245 : -0.4135451 
nnet RMSE 245 : 0.1456680 


s: 246 
logit 246 : -0.3970779 
logit mean 246 : -0.4159919 
logit RMSE 246 : 0.05898544 

boosting 246 : -0.4464352 
boosting mean 246 : -0.4677109 
boosting RMSE 246 : 0.1288412 

forest 246 : -0.3597576 
forest mean 246 : -0.3700225 
forest RMSE 246 : 0.05727765 

nnet 246 : -0.6457011 
nnet mean 246 : -0.4144889 
nnet RMSE 246 : 0.1462133 


s: 247 
logit 247 : -0.3932596 
logit mean 247 : -0.4158999 
logit RMSE 247 : 0.05886748 

boosting 247 : -0.3944849 
boosting mean 247 : -0.4674145 
boosting RMSE 247 : 0.1285806 

forest 247 : -0.3541957 
forest mean 247 : -0.3699585 
forest RMSE 247 : 0.05723584 

nnet 247 : -0.467281 
nnet mean 247 : -0.4147026 
nnet RMSE 247 : 0.1459798 


s: 248 
logit 248 : -0.2229417 
logit mean 248 : -0.4151218 
logit RMSE 248 : 0.05981485 

boosting 248 : -0.5334442 
boosting mean 248 : -0.4676807 
boosting RMSE 248 : 0.1286006 

forest 248 : -0.4253394 
forest mean 248 : -0.3701818 
forest RMSE 248 : 0.05714298 

nnet 248 : -0.4052093 
nnet mean 248 : -0.4146643 
nnet RMSE 248 : 0.1456856 


s: 249 
logit 249 : -0.4254824 
logit mean 249 : -0.4151634 
logit RMSE 249 : 0.05971646 

boosting 249 : -0.3522882 
boosting mean 249 : -0.4672173 
boosting RMSE 249 : 0.1283777 

forest 249 : -0.2678672 
forest mean 249 : -0.3697709 
forest RMSE 249 : 0.0576396 

nnet 249 : -0.1049919 
nnet mean 249 : -0.4134206 
nnet RMSE 249 : 0.1465898 


s: 250 
logit 250 : -0.4625376 
logit mean 250 : -0.4153529 
logit RMSE 250 : 0.05972801 

boosting 250 : -0.5098719 
boosting mean 250 : -0.4673879 
boosting RMSE 250 : 0.1283090 

forest 250 : -0.3443440 
forest mean 250 : -0.3696692 
forest RMSE 250 : 0.0576318 

nnet 250 : -0.5047815 
nnet mean 250 : -0.4137861 
nnet RMSE 250 : 0.1464463 


s: 251 
logit 251 : -0.4096945 
logit mean 251 : -0.4153304 
logit RMSE 251 : 0.05961205 

boosting 251 : -0.4924264 
boosting mean 251 : -0.4674877 
boosting RMSE 251 : 0.1281860 

forest 251 : -0.3724794 
forest mean 251 : -0.3696803 
forest RMSE 251 : 0.05754311 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 251 : -0.1170752 
nnet mean 251 : -0.412604 
nnet RMSE 251 : 0.1472413 


s: 252 
logit 252 : -0.420284 
logit mean 252 : -0.4153501 
logit RMSE 252 : 0.05950738 

boosting 252 : -0.7714145 
boosting mean 252 : -0.4686937 
boosting RMSE 252 : 0.1300533 

forest 252 : -0.3688791 
forest mean 252 : -0.3696772 
forest RMSE 252 : 0.05746228 

nnet 252 : -0.5265203 
nnet mean 252 : -0.413056 
nnet RMSE 252 : 0.1471648 


s: 253 
logit 253 : -0.4628712 
logit mean 253 : -0.4155379 
logit RMSE 253 : 0.05952105 

boosting 253 : -0.816641 
boosting mean 253 : -0.470069 
boosting RMSE 253 : 0.1324127 

forest 253 : -0.3289659 
forest mean 253 : -0.3695163 
forest RMSE 253 : 0.05752222 

nnet 253 : -0.4018487 
nnet mean 253 : -0.4130117 
nnet RMSE 253 : 0.1468737 


s: 254 
logit 254 : -0.3969321 
logit mean 254 : -0.4154646 
logit RMSE 254 : 0.05940408 

boosting 254 : -0.3626807 
boosting mean 254 : -0.4696462 
boosting RMSE 254 : 0.1321725 

forest 254 : -0.3555469 
forest mean 254 : -0.3694613 
forest RMSE 254 : 0.0574766 

nnet 254 : -0.3567051 
nnet mean 254 : -0.41279 
nnet RMSE 254 : 0.1466095 


s: 255 
logit 255 : -0.4710327 
logit mean 255 : -0.4156825 
logit RMSE 255 : 0.05945412 

boosting 255 : -0.5230227 
boosting mean 255 : -0.4698555 
boosting RMSE 255 : 0.1321379 

forest 255 : -0.3607663 
forest mean 255 : -0.3694272 
forest RMSE 255 : 0.05741638 

nnet 255 : -0.3695964 
nnet mean 255 : -0.4126207 
nnet RMSE 255 : 0.1463341 


s: 256 
logit 256 : -0.4020698 
logit mean 256 : -0.4156294 
logit RMSE 256 : 0.05933803 

boosting 256 : -0.6257799 
boosting mean 256 : -0.4704646 
boosting RMSE 256 : 0.1326324 

forest 256 : -0.4345765 
forest mean 256 : -0.3696816 
forest RMSE 256 : 0.05734486 

nnet 256 : -0.6600321 
nnet mean 256 : -0.4135871 
nnet RMSE 256 : 0.1469495 


s: 257 
logit 257 : -0.5322462 
logit mean 257 : -0.4160831 
logit RMSE 257 : 0.05979425 

boosting 257 : -0.6630637 
boosting mean 257 : -0.471214 
boosting RMSE 257 : 0.1333873 

forest 257 : -0.4262868 
forest mean 257 : -0.3699019 
forest RMSE 257 : 0.05725667 

nnet 257 : -0.6681021 
nnet mean 257 : -0.4145774 
nnet RMSE 257 : 0.1476137 


s: 258 
logit 258 : -0.3933396 
logit mean 258 : -0.415995 
logit RMSE 258 : 0.0596797 

boosting 258 : -0.6528265 
boosting mean 258 : -0.4719179 
boosting RMSE 258 : 0.1340558 

forest 258 : -0.2865947 
forest mean 258 : -0.369579 
forest RMSE 258 : 0.0575801 

nnet 258 : -0.3323943 
nnet mean 258 : -0.4142589 
nnet RMSE 258 : 0.1473875 


s: 259 
logit 259 : -0.3940076 
logit mean 259 : -0.4159101 
logit RMSE 259 : 0.05956553 

boosting 259 : -0.4683608 
boosting mean 259 : -0.4719042 
boosting RMSE 259 : 0.1338642 

forest 259 : -0.3368431 
forest mean 259 : -0.3694526 
forest RMSE 259 : 0.05760267 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 259 : -0.2569713 
nnet mean 259 : -0.4136516 
nnet RMSE 259 : 0.1473709 


s: 260 
logit 260 : -0.4411179 
logit mean 260 : -0.4160070 
logit RMSE 260 : 0.05950554 

boosting 260 : -0.3718775 
boosting mean 260 : -0.4715195 
boosting RMSE 260 : 0.1336179 

forest 260 : -0.4377106 
forest mean 260 : -0.3697151 
forest RMSE 260 : 0.05753933 

nnet 260 : -0.2856894 
nnet mean 260 : -0.4131594 
nnet RMSE 260 : 0.1472580 


s: 261 
logit 261 : -0.4178289 
logit mean 261 : -0.416014 
logit RMSE 261 : 0.05940169 

boosting 261 : -0.4280037 
boosting mean 261 : -0.4713528 
boosting RMSE 261 : 0.1333729 

forest 261 : -0.3746121 
forest mean 261 : -0.3697339 
forest RMSE 261 : 0.0574505 

nnet 261 : -0.5310099 
nnet mean 261 : -0.413611 
nnet RMSE 261 : 0.1471991 


s: 262 
logit 262 : -0.5346797 
logit mean 262 : -0.4164669 
logit RMSE 262 : 0.05986922 

boosting 262 : -0.2702918 
boosting mean 262 : -0.4705854 
boosting RMSE 262 : 0.1333591 

forest 262 : -0.4408058 
forest mean 262 : -0.3700052 
forest RMSE 262 : 0.05739614 

nnet 262 : -0.3747854 
nnet mean 262 : -0.4134628 
nnet RMSE 262 : 0.1469262 


s: 263 
logit 263 : -0.3039716 
logit mean 263 : -0.4160392 
logit RMSE 263 : 0.06004796 

boosting 263 : -0.3412632 
boosting mean 263 : -0.4700936 
boosting RMSE 263 : 0.1331546 

forest 263 : -0.4669233 
forest mean 263 : -0.3703737 
forest RMSE 263 : 0.05743536 

nnet 263 : -0.3596328 
nnet mean 263 : -0.4132581 
nnet RMSE 263 : 0.1466677 


s: 264 
logit 264 : -0.3852123 
logit mean 264 : -0.4159224 
logit RMSE 264 : 0.05994104 

boosting 264 : -0.3962403 
boosting mean 264 : -0.4698139 
boosting RMSE 264 : 0.1329024 

forest 264 : -0.3705883 
forest mean 264 : -0.3703745 
forest RMSE 264 : 0.05735505 

nnet 264 : -0.3885181 
nnet mean 264 : -0.4131644 
nnet RMSE 264 : 0.1463914 


s: 265 
logit 265 : -0.3269507 
logit mean 265 : -0.4155867 
logit RMSE 265 : 0.05999589 

boosting 265 : -0.4401703 
boosting mean 265 : -0.469702 
boosting RMSE 265 : 0.1326743 

forest 265 : -0.3697303 
forest mean 265 : -0.3703721 
forest RMSE 265 : 0.05727692 

nnet 265 : -0.5334367 
nnet mean 265 : -0.4136183 
nnet RMSE 265 : 0.1463447 


s: 266 
logit 266 : -0.3719337 
logit mean 266 : -0.4154226 
logit RMSE 266 : 0.05990773 

boosting 266 : -0.4571483 
boosting mean 266 : -0.4696548 
boosting RMSE 266 : 0.1324711 

forest 266 : -0.3463504 
forest mean 266 : -0.3702818 
forest RMSE 266 : 0.05726372 

nnet 266 : -0.4481968 
nnet mean 266 : -0.4137483 
nnet RMSE 266 : 0.1460992 


s: 267 
logit 267 : -0.4113394 
logit mean 267 : -0.4154073 
logit RMSE 267 : 0.05979946 

boosting 267 : -0.444114 
boosting mean 267 : -0.4695592 
boosting RMSE 267 : 0.1322503 

forest 267 : -0.3914225 
forest mean 267 : -0.3703609 
forest RMSE 267 : 0.05715879 

nnet 267 : -0.5548378 
nnet mean 267 : -0.4142767 
nnet RMSE 267 : 0.1461329 


s: 268 
logit 268 : -0.3535615 
logit mean 268 : -0.4151765 
logit RMSE 268 : 0.05975516 

boosting 268 : -0.3657213 
boosting mean 268 : -0.4691717 
boosting RMSE 268 : 0.1320200 

forest 268 : -0.3310409 
forest mean 268 : -0.3702142 
forest RMSE 268 : 0.05720735 

nnet 268 : -0.4835489 
nnet mean 268 : -0.4145352 
nnet RMSE 268 : 0.1459493 


s: 269 
logit 269 : -0.5091646 
logit mean 269 : -0.4155259 
logit RMSE 269 : 0.06001422 

boosting 269 : -0.758192 
boosting mean 269 : -0.4702461 
boosting RMSE 269 : 0.1335718 

forest 269 : -0.3953087 
forest mean 269 : -0.3703075 
forest RMSE 269 : 0.05710163 

nnet 269 : -0.5172893 
nnet mean 269 : -0.4149171 
nnet RMSE 269 : 0.1458532 


s: 270 
logit 270 : -0.4138658 
logit mean 270 : -0.4155198 
logit RMSE 270 : 0.05990892 

boosting 270 : -0.5180464 
boosting mean 270 : -0.4704232 
boosting RMSE 270 : 0.1335177 

forest 270 : -0.4113633 
forest mean 270 : -0.3704596 
forest RMSE 270 : 0.05699998 

nnet 270 : -0.6074335 
nnet mean 270 : -0.4156302 
nnet RMSE 270 : 0.1461291 


s: 271 
logit 271 : -0.4326551 
logit mean 271 : -0.415583 
logit RMSE 271 : 0.05983118 

boosting 271 : -0.5283882 
boosting mean 271 : -0.4706371 
boosting RMSE 271 : 0.1334991 

forest 271 : -0.3942078 
forest mean 271 : -0.3705472 
forest RMSE 271 : 0.05689581 

nnet 271 : -0.6674051 
nnet mean 271 : -0.4165592 
nnet RMSE 271 : 0.146761 


s: 272 
logit 272 : -0.3519962 
logit mean 272 : -0.4153492 
logit RMSE 272 : 0.05979198 

boosting 272 : -0.4875995 
boosting mean 272 : -0.4706994 
boosting RMSE 272 : 0.1333593 

forest 272 : -0.4406656 
forest mean 272 : -0.370805 
forest RMSE 272 : 0.05684463 

nnet 272 : -0.4899504 
nnet mean 272 : -0.4168290 
nnet RMSE 272 : 0.1465925 


s: 273 
logit 273 : -0.4520275 
logit mean 273 : -0.4154836 
logit RMSE 273 : 0.05976538 

boosting 273 : -0.6162144 
boosting mean 273 : -0.4712325 
boosting RMSE 273 : 0.1337565 

forest 273 : -0.3685858 
forest mean 273 : -0.3707969 
forest RMSE 273 : 0.05677227 

nnet 273 : -0.4452782 
nnet mean 273 : -0.4169333 
nnet RMSE 273 : 0.1463494 


s: 274 
logit 274 : -0.465026 
logit mean 274 : -0.4156644 
logit RMSE 274 : 0.05978542 

boosting 274 : -0.5267429 
boosting mean 274 : -0.4714351 
boosting RMSE 274 : 0.1337316 

forest 274 : -0.4295596 
forest mean 274 : -0.3710113 
forest RMSE 274 : 0.0566967 

nnet 274 : -0.4729234 
nnet mean 274 : -0.4171376 
nnet RMSE 274 : 0.1461485 


s: 275 
logit 275 : -0.3997915 
logit mean 275 : -0.4156067 
logit RMSE 275 : 0.05967662 

boosting 275 : -0.4915742 
boosting mean 275 : -0.4715083 
boosting RMSE 275 : 0.1336024 

forest 275 : -0.3456817 
forest mean 275 : -0.3709192 
forest RMSE 275 : 0.05668823 

nnet 275 : -0.5051513 
nnet mean 275 : -0.4174576 
nnet RMSE 275 : 0.1460203 


s: 276 
logit 276 : -0.4158662 
logit mean 276 : -0.4156076 
logit RMSE 276 : 0.05957607 

boosting 276 : -0.2651200 
boosting mean 276 : -0.4707605 
boosting RMSE 276 : 0.133607 

forest 276 : -0.3258958 
forest mean 276 : -0.3707561 
forest RMSE 276 : 0.05676098 

nnet 276 : -0.3338529 
nnet mean 276 : -0.4171547 
nnet RMSE 276 : 0.1458099 


s: 277 
logit 277 : -0.4100349 
logit mean 277 : -0.4155875 
logit RMSE 277 : 0.05947149 

boosting 277 : -0.567244 
boosting mean 277 : -0.4711088 
boosting RMSE 277 : 0.1337437 

forest 277 : -0.37129 
forest mean 277 : -0.370758 
forest RMSE 277 : 0.05668469 

nnet 277 : -0.2248979 
nnet mean 277 : -0.4164607 
nnet RMSE 277 : 0.1459262 


s: 278 
logit 278 : -0.47674 
logit mean 278 : -0.4158075 
logit RMSE 278 : 0.05954258 

boosting 278 : -0.5292408 
boosting mean 278 : -0.4713179 
boosting RMSE 278 : 0.1337277 

forest 278 : -0.3702974 
forest mean 278 : -0.3707564 
forest RMSE 278 : 0.05661068 

nnet 278 : -0.3563785 
nnet mean 278 : -0.4162445 
nnet RMSE 278 : 0.145687 


s: 279 
logit 279 : -0.3900137 
logit mean 279 : -0.415715 
logit RMSE 279 : 0.05943879 

boosting 279 : -0.4600264 
boosting mean 279 : -0.4712775 
boosting RMSE 279 : 0.1335362 

forest 279 : -0.308528 
forest mean 279 : -0.3705333 
forest RMSE 279 : 0.05677387 

nnet 279 : -0.2819183 
nnet mean 279 : -0.4157631 
nnet RMSE 279 : 0.1455974 


s: 280 
logit 280 : -0.3500421 
logit mean 280 : -0.4154805 
logit RMSE 280 : 0.05940762 

boosting 280 : -0.2733891 
boosting mean 280 : -0.4705707 
boosting RMSE 280 : 0.1335121 

forest 280 : -0.4934865 
forest mean 280 : -0.3709724 
forest RMSE 280 : 0.05694711 

nnet 280 : -0.237304 
nnet mean 280 : -0.4151257 
nnet RMSE 280 : 0.1456620 


s: 281 
logit 281 : -0.4644881 
logit mean 281 : -0.4156549 
logit RMSE 281 : 0.05942647 

boosting 281 : -0.561737 
boosting mean 281 : -0.4708951 
boosting RMSE 281 : 0.1336231 

forest 281 : -0.3976589 
forest mean 281 : -0.3710674 
forest RMSE 281 : 0.05684587 

nnet 281 : -0.5796278 
nnet mean 281 : -0.4157111 
nnet RMSE 281 : 0.1457969 


s: 282 
logit 282 : -0.4115694 
logit mean 282 : -0.4156404 
logit RMSE 282 : 0.05932501 

boosting 282 : -0.3606759 
boosting mean 282 : -0.4705043 
boosting RMSE 282 : 0.1334066 

forest 282 : -0.3384947 
forest mean 282 : -0.3709519 
forest RMSE 282 : 0.05686306 

nnet 282 : -0.4855928 
nnet mean 282 : -0.4159590 
nnet RMSE 282 : 0.1456274 


s: 283 
logit 283 : -0.3318924 
logit mean 283 : -0.4153445 
logit RMSE 283 : 0.05935833 

boosting 283 : -0.2263369 
boosting mean 283 : -0.4696415 
boosting RMSE 283 : 0.1335702 

forest 283 : -0.3572957 
forest mean 283 : -0.3709036 
forest RMSE 283 : 0.05681924 

nnet 283 : -0.6835457 
nnet mean 283 : -0.4169045 
nnet RMSE 283 : 0.1463438 


s: 284 
logit 284 : -0.4911404 
logit mean 284 : -0.4156113 
logit RMSE 284 : 0.05950003 

boosting 284 : -0.4962127 
boosting mean 284 : -0.4697351 
boosting RMSE 284 : 0.1334570 

forest 284 : -0.3884372 
forest mean 284 : -0.3709654 
forest RMSE 284 : 0.05672327 

nnet 284 : -0.3879743 
nnet mean 284 : -0.4168026 
nnet RMSE 284 : 0.1460877 


s: 285 
logit 285 : -0.5143879 
logit mean 285 : -0.4159579 
logit RMSE 285 : 0.05978079 

boosting 285 : -0.3931207 
boosting mean 285 : -0.4694663 
boosting RMSE 285 : 0.1332233 

forest 285 : -0.385395 
forest mean 285 : -0.371016 
forest RMSE 285 : 0.05663028 

nnet 285 : -0.5890352 
nnet mean 285 : -0.4174070 
nnet RMSE 285 : 0.1462604 


s: 286 
logit 286 : -0.3181824 
logit mean 286 : -0.4156161 
logit RMSE 286 : 0.05987197 

boosting 286 : -0.5623561 
boosting mean 286 : -0.469791 
boosting RMSE 286 : 0.1333362 

forest 286 : -0.3631648 
forest mean 286 : -0.3709886 
forest RMSE 286 : 0.05657313 

nnet 286 : -0.547221 
nnet mean 286 : -0.4178608 
nnet RMSE 286 : 0.1462638 


s: 287 
logit 287 : -0.3592466 
logit mean 287 : -0.4154196 
logit RMSE 287 : 0.05981596 

boosting 287 : -0.4710911 
boosting mean 287 : -0.4697956 
boosting RMSE 287 : 0.1331699 

forest 287 : -0.3314841 
forest mean 287 : -0.3708509 
forest RMSE 287 : 0.05661912 

nnet 287 : 0.142168 
nnet mean 287 : -0.4159095 
nnet RMSE 287 : 0.1494749 


s: 288 
logit 288 : -0.4603877 
logit mean 288 : -0.4155758 
logit RMSE 288 : 0.05981796 

boosting 288 : -0.6273588 
boosting mean 288 : -0.4703427 
boosting RMSE 288 : 0.1336118 

forest 288 : -0.4162112 
forest mean 288 : -0.3710084 
forest RMSE 288 : 0.05652881 

nnet 288 : -0.4990468 
nnet mean 288 : -0.4161982 
nnet RMSE 288 : 0.1493293 


s: 289 
logit 289 : -0.424745 
logit mean 289 : -0.4156075 
logit RMSE 289 : 0.05973212 

boosting 289 : -0.4555584 
boosting mean 289 : -0.4702915 
boosting RMSE 289 : 0.1334205 

forest 289 : -0.3698773 
forest mean 289 : -0.3710045 
forest RMSE 289 : 0.05645873 

nnet 289 : -0.3587972 
nnet mean 289 : -0.4159996 
nnet RMSE 289 : 0.1490904 


s: 290 
logit 290 : -0.4122381 
logit mean 290 : -0.4155959 
logit RMSE 290 : 0.05963337 

boosting 290 : -0.4639524 
boosting mean 290 : -0.4702697 
boosting RMSE 290 : 0.1332432 

forest 290 : -0.3990245 
forest mean 290 : -0.3711011 
forest RMSE 290 : 0.05636134 

nnet 290 : -0.3930021 
nnet mean 290 : -0.4159203 
nnet RMSE 290 : 0.1488337 


s: 291 
logit 291 : -0.385583 
logit mean 291 : -0.4154928 
logit RMSE 291 : 0.05953682 

boosting 291 : -0.6524755 
boosting mean 291 : -0.4708958 
boosting RMSE 291 : 0.1338349 

forest 291 : -0.3822094 
forest mean 291 : -0.3711393 
forest RMSE 291 : 0.05627408 

nnet 291 : -0.5971827 
nnet mean 291 : -0.4165432 
nnet RMSE 291 : 0.1490267 


s: 292 
logit 292 : -0.4494022 
logit mean 292 : -0.4156089 
logit RMSE 292 : 0.05950506 

boosting 292 : -0.490322 
boosting mean 292 : -0.4709623 
boosting RMSE 292 : 0.1337101 

forest 292 : -0.3464099 
forest mean 292 : -0.3710546 
forest RMSE 292 : 0.0562651 

nnet 292 : -0.4700499 
nnet mean 292 : -0.4167264 
nnet RMSE 292 : 0.1488278 


s: 293 
logit 293 : -0.5043653 
logit mean 293 : -0.4159118 
logit RMSE 293 : 0.0597155 

boosting 293 : -0.3689761 
boosting mean 293 : -0.4706142 
boosting RMSE 293 : 0.1334940 

forest 293 : -0.3682026 
forest mean 293 : -0.3710449 
forest RMSE 293 : 0.05619972 

nnet 293 : -0.4617455 
nnet mean 293 : -0.4168801 
nnet RMSE 293 : 0.1486174 


s: 294 
logit 294 : -0.3979146 
logit mean 294 : -0.4158506 
logit RMSE 294 : 0.05961399 

boosting 294 : -0.3377347 
boosting mean 294 : -0.4701623 
boosting RMSE 294 : 0.1333163 

forest 294 : -0.2148781 
forest mean 294 : -0.3705137 
forest RMSE 294 : 0.05713344 

nnet 294 : -0.4541643 
nnet mean 294 : -0.4170069 
nnet RMSE 294 : 0.1483980 


s: 295 
logit 295 : -0.3882031 
logit mean 295 : -0.4157569 
logit RMSE 295 : 0.05951682 

boosting 295 : -0.4882832 
boosting mean 295 : -0.4702237 
boosting RMSE 295 : 0.1331893 

forest 295 : -0.4518095 
forest mean 295 : -0.3707893 
forest RMSE 295 : 0.05711623 

nnet 295 : -0.4190386 
nnet mean 295 : -0.4170138 
nnet RMSE 295 : 0.1481504 


s: 296 
logit 296 : -0.4877121 
logit mean 296 : -0.416 
logit RMSE 296 : 0.05963452 

boosting 296 : -0.5582311 
boosting mean 296 : -0.470521 
boosting RMSE 296 : 0.1332819 

forest 296 : -0.2754517 
forest mean 296 : -0.3704672 
forest RMSE 296 : 0.05747738 

nnet 296 : -0.2332684 
nnet mean 296 : -0.416393 
nnet RMSE 296 : 0.1482171 


s: 297 
logit 297 : -0.4970387 
logit mean 297 : -0.4162728 
logit RMSE 297 : 0.05979973 

boosting 297 : -0.4371278 
boosting mean 297 : -0.4704086 
boosting RMSE 297 : 0.1330747 

forest 297 : -0.3955778 
forest mean 297 : -0.3705517 
forest RMSE 297 : 0.05738111 

nnet 297 : -0.6526468 
nnet mean 297 : -0.4171885 
nnet RMSE 297 : 0.1486919 


s: 298 
logit 298 : -0.4821845 
logit mean 298 : -0.416494 
logit RMSE 298 : 0.05988884 

boosting 298 : -0.2247415 
boosting mean 298 : -0.4695842 
boosting RMSE 298 : 0.1332386 

forest 298 : -0.3359725 
forest mean 298 : -0.3704357 
forest RMSE 298 : 0.0574047 

nnet 298 : -0.4335858 
nnet mean 298 : -0.4172435 
nnet RMSE 298 : 0.1484549 


s: 299 
logit 299 : -0.4035996 
logit mean 299 : -0.4164509 
logit RMSE 299 : 0.05978897 

boosting 299 : -0.3555082 
boosting mean 299 : -0.4692027 
boosting RMSE 299 : 0.1330405 

forest 299 : -0.3525193 
forest mean 299 : -0.3703758 
forest RMSE 299 : 0.05737437 

nnet 299 : -0.2316876 
nnet mean 299 : -0.4166229 
nnet RMSE 299 : 0.1485258 


s: 300 
logit 300 : -0.4466235 
logit mean 300 : -0.4165515 
logit RMSE 300 : 0.0597499 

boosting 300 : -0.4548794 
boosting mean 300 : -0.4691549 
boosting RMSE 300 : 0.1328564 

forest 300 : -0.3583347 
forest mean 300 : -0.3703356 
forest RMSE 300 : 0.05732916 

nnet 300 : -0.5629017 
nnet mean 300 : -0.4171105 
nnet RMSE 300 : 0.1485760 


s: 301 
logit 301 : -0.3495543 
logit mean 301 : -0.4163289 
logit RMSE 301 : 0.05972139 

boosting 301 : -0.4649713 
boosting mean 301 : -0.469141 
boosting RMSE 301 : 0.1326884 

forest 301 : -0.4053317 
forest mean 301 : -0.3704519 
forest RMSE 301 : 0.05723467 

nnet 301 : -0.4004177 
nnet mean 301 : -0.4170550 
nnet RMSE 301 : 0.1483290 


s: 302 
logit 302 : -0.3455499 
logit mean 302 : -0.4160945 
logit RMSE 302 : 0.0597047 

boosting 302 : -0.4298637 
boosting mean 302 : -0.469011 
boosting RMSE 302 : 0.1324796 

forest 302 : -0.3577196 
forest mean 302 : -0.3704097 
forest RMSE 302 : 0.05719161 

nnet 302 : -0.5470003 
nnet mean 302 : -0.4174853 
nnet RMSE 302 : 0.1483246 


s: 303 
logit 303 : -0.4966211 
logit mean 303 : -0.4163603 
logit RMSE 303 : 0.059864 

boosting 303 : -0.6198359 
boosting mean 303 : -0.4695087 
boosting RMSE 303 : 0.1328624 

forest 303 : -0.3339262 
forest mean 303 : -0.3702893 
forest RMSE 303 : 0.05722319 

nnet 303 : -0.513009 
nnet mean 303 : -0.4178006 
nnet RMSE 303 : 0.1482219 


s: 304 
logit 304 : -0.4332934 
logit mean 304 : -0.416416 
logit RMSE 304 : 0.05979595 

boosting 304 : -0.3667856 
boosting mean 304 : -0.4691708 
boosting RMSE 304 : 0.1326574 

forest 304 : -0.2471625 
forest mean 304 : -0.3698843 
forest RMSE 304 : 0.05779759 

nnet 304 : -0.4819766 
nnet mean 304 : -0.4180117 
nnet RMSE 304 : 0.1480526 


s: 305 
logit 305 : -0.3470411 
logit mean 305 : -0.4161885 
logit RMSE 305 : 0.05977481 

boosting 305 : -0.3924105 
boosting mean 305 : -0.4689192 
boosting RMSE 305 : 0.1324405 

forest 305 : -0.3973674 
forest mean 305 : -0.3699744 
forest RMSE 305 : 0.05770296 

nnet 305 : -0.4472138 
nnet mean 305 : -0.4181074 
nnet RMSE 305 : 0.1478344 


s: 306 
logit 306 : -0.4017465 
logit mean 306 : -0.4161413 
logit RMSE 306 : 0.05967714 

boosting 306 : -0.4555721 
boosting mean 306 : -0.4688755 
boosting RMSE 306 : 0.1322621 

forest 306 : -0.409534 
forest mean 306 : -0.3701037 
forest RMSE 306 : 0.05761118 

nnet 306 : -0.3878149 
nnet mean 306 : -0.4180084 
nnet RMSE 306 : 0.1475943 


s: 307 
logit 307 : -0.4277048 
logit mean 307 : -0.416179 
logit RMSE 307 : 0.05960085 

boosting 307 : -0.5086191 
boosting mean 307 : -0.469005 
boosting RMSE 307 : 0.1321919 

forest 307 : -0.3778612 
forest mean 307 : -0.370129 
forest RMSE 307 : 0.05753115 

nnet 307 : -0.4053099 
nnet mean 307 : -0.4179671 
nnet RMSE 307 : 0.147354 


s: 308 
logit 308 : -0.3176991 
logit mean 308 : -0.4158592 
logit RMSE 308 : 0.05968852 

boosting 308 : -0.5803715 
boosting mean 308 : -0.4693666 
boosting RMSE 308 : 0.1323767 

forest 308 : -0.3582034 
forest mean 308 : -0.3700902 
forest RMSE 308 : 0.05748703 

nnet 308 : -0.04969477 
nnet mean 308 : -0.4167714 
nnet RMSE 308 : 0.1484625 


s: 309 
logit 309 : -0.3936355 
logit mean 309 : -0.4157873 
logit RMSE 309 : 0.05959296 

boosting 309 : -0.4662073 
boosting mean 309 : -0.4693564 
boosting RMSE 309 : 0.132216 

forest 309 : -0.3949454 
forest mean 309 : -0.3701707 
forest RMSE 309 : 0.05739466 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 309 : -0.2841773 
nnet mean 309 : -0.4163423 
nnet RMSE 309 : 0.1483685 


s: 310 
logit 310 : -0.3912095 
logit mean 310 : -0.415708 
logit RMSE 310 : 0.05949886 

boosting 310 : -0.4605005 
boosting mean 310 : -0.4693278 
boosting RMSE 310 : 0.1320473 

forest 310 : -0.2334902 
forest mean 310 : -0.3697298 
forest RMSE 310 : 0.05807717 

nnet 310 : -0.2593102 
nnet mean 310 : -0.4158357 
nnet RMSE 310 : 0.1483444 


s: 311 
logit 311 : -0.4246371 
logit mean 311 : -0.4157367 
logit RMSE 311 : 0.05941955 

boosting 311 : -0.5770099 
boosting mean 311 : -0.469674 
boosting RMSE 311 : 0.1322164 

forest 311 : -0.3725604 
forest mean 311 : -0.3697389 
forest RMSE 311 : 0.05800459 

nnet 311 : -0.4930325 
nnet mean 311 : -0.4160839 
nnet RMSE 311 : 0.1481996 


s: 312 
logit 312 : -0.3841225 
logit mean 312 : -0.4156354 
logit RMSE 312 : 0.05933106 

boosting 312 : -0.5981838 
boosting mean 312 : -0.4700859 
boosting RMSE 312 : 0.1324803 

forest 312 : -0.3919604 
forest mean 312 : -0.3698101 
forest RMSE 312 : 0.05791335 

nnet 312 : -0.473721 
nnet mean 312 : -0.4162687 
nnet RMSE 312 : 0.1480208 


s: 313 
logit 313 : -0.3716323 
logit mean 313 : -0.4154948 
logit RMSE 313 : 0.0592579 

boosting 313 : -0.5723678 
boosting mean 313 : -0.4704127 
boosting RMSE 313 : 0.1326268 

forest 313 : -0.387191 
forest mean 313 : -0.3698656 
forest RMSE 313 : 0.0578253 

nnet 313 : -0.5783977 
nnet mean 313 : -0.4167867 
nnet RMSE 313 : 0.1481277 


s: 314 
logit 314 : -0.4763156 
logit mean 314 : -0.4156885 
logit RMSE 314 : 0.05932001 

boosting 314 : -0.5527188 
boosting mean 314 : -0.4706748 
boosting RMSE 314 : 0.1326956 

forest 314 : -0.4527407 
forest mean 314 : -0.3701296 
forest RMSE 314 : 0.05780981 

nnet 314 : -0.4119486 
nnet mean 314 : -0.4167713 
nnet RMSE 314 : 0.1478932 


s: 315 
logit 315 : -0.3625821 
logit mean 315 : -0.4155199 
logit RMSE 315 : 0.05926329 

boosting 315 : -0.5163402 
boosting mean 315 : -0.4708198 
boosting RMSE 315 : 0.1326469 

forest 315 : -0.4494668 
forest mean 315 : -0.3703814 
forest RMSE 315 : 0.05778523 

nnet 315 : -0.4621599 
nnet mean 315 : -0.4169154 
nnet RMSE 315 : 0.1476998 


s: 316 
logit 316 : -0.3943863 
logit mean 316 : -0.4154531 
logit RMSE 316 : 0.05917029 

boosting 316 : -0.5355908 
boosting mean 316 : -0.4710248 
boosting RMSE 316 : 0.1326563 

forest 316 : -0.3488627 
forest mean 316 : -0.3703133 
forest RMSE 316 : 0.0577654 

nnet 316 : -0.2691688 
nnet mean 316 : -0.4164478 
nnet RMSE 316 : 0.1476495 


s: 317 
logit 317 : -0.4383788 
logit mean 317 : -0.4155254 
logit RMSE 317 : 0.0591162 

boosting 317 : -0.508556 
boosting mean 317 : -0.4711432 
boosting RMSE 317 : 0.1325872 

forest 317 : -0.423042 
forest mean 317 : -0.3704797 
forest RMSE 317 : 0.05768874 

nnet 317 : -0.5167431 
nnet mean 317 : -0.4167642 
nnet RMSE 317 : 0.1475621 


s: 318 
logit 318 : -0.3535458 
logit mean 318 : -0.4153305 
logit RMSE 318 : 0.05908064 

boosting 318 : -0.4390691 
boosting mean 318 : -0.4710423 
boosting RMSE 318 : 0.1323967 

forest 318 : -0.3365148 
forest mean 318 : -0.3703729 
forest RMSE 318 : 0.05770788 

nnet 318 : -0.5048342 
nnet mean 318 : -0.4170411 
nnet RMSE 318 : 0.1474472 


s: 319 
logit 319 : -0.4591477 
logit mean 319 : -0.4154678 
logit RMSE 319 : 0.05908085 

boosting 319 : -0.5410449 
boosting mean 319 : -0.4712617 
boosting RMSE 319 : 0.1324247 

forest 319 : -0.3452066 
forest mean 319 : -0.370294 
forest RMSE 319 : 0.05769897 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 319 : -0.2634376 
nnet mean 319 : -0.4165596 
nnet RMSE 319 : 0.1474143 


s: 320 
logit 320 : -0.4862238 
logit mean 320 : -0.4156889 
logit RMSE 320 : 0.05918506 

boosting 320 : -0.5924593 
boosting mean 320 : -0.4716405 
boosting RMSE 320 : 0.1326546 

forest 320 : -0.447649 
forest mean 320 : -0.3705357 
forest RMSE 320 : 0.05767029 

nnet 320 : -0.6695784 
nnet mean 320 : -0.4173503 
nnet RMSE 320 : 0.1479533 


s: 321 
logit 321 : -0.4021947 
logit mean 321 : -0.4156469 
logit RMSE 321 : 0.05909293 

boosting 321 : -0.3862492 
boosting mean 321 : -0.4713745 
boosting RMSE 321 : 0.1324500 

forest 321 : -0.3185385 
forest mean 321 : -0.3703737 
forest RMSE 321 : 0.05775963 

nnet 321 : -0.385493 
nnet mean 321 : -0.4172511 
nnet RMSE 321 : 0.1477249 


s: 322 
logit 322 : -0.4425293 
logit mean 322 : -0.4157304 
logit RMSE 322 : 0.05904868 

boosting 322 : -0.3212057 
boosting mean 322 : -0.4709081 
boosting RMSE 322 : 0.1323171 

forest 322 : -0.4284246 
forest mean 322 : -0.370554 
forest RMSE 322 : 0.05769162 

nnet 322 : -0.4803792 
nnet mean 322 : -0.4174471 
nnet RMSE 322 : 0.1475633 


s: 323 
logit 323 : -0.4497985 
logit mean 323 : -0.4158359 
logit RMSE 323 : 0.05902228 

boosting 323 : -0.5823167 
boosting mean 323 : -0.471253 
boosting RMSE 323 : 0.1325010 

forest 323 : -0.3970193 
forest mean 323 : -0.3706359 
forest RMSE 323 : 0.05760248 

nnet 323 : -0.3510742 
nnet mean 323 : -0.4172416 
nnet RMSE 323 : 0.1473598 


s: 324 
logit 324 : -0.4421681 
logit mean 324 : -0.4159171 
logit RMSE 324 : 0.05897767 

boosting 324 : -0.4925412 
boosting mean 324 : -0.4713187 
boosting RMSE 324 : 0.1323962 

forest 324 : -0.3559424 
forest mean 324 : -0.3705906 
forest RMSE 324 : 0.05756558 

nnet 324 : -0.5127631 
nnet mean 324 : -0.4175364 
nnet RMSE 324 : 0.1472656 


s: 325 
logit 325 : -0.4129686 
logit mean 325 : -0.4159081 
logit RMSE 325 : 0.05889126 

boosting 325 : -0.5023799 
boosting mean 325 : -0.4714143 
boosting RMSE 325 : 0.1323143 

forest 325 : -0.3695153 
forest mean 325 : -0.3705873 
forest RMSE 325 : 0.05750182 

nnet 325 : -0.1661596 
nnet mean 325 : -0.416763 
nnet RMSE 325 : 0.1476099 


s: 326 
logit 326 : -0.4476325 
logit mean 326 : -0.4160054 
logit RMSE 326 : 0.05886002 

boosting 326 : -0.4298954 
boosting mean 326 : -0.4712869 
boosting RMSE 326 : 0.1321216 

forest 326 : -0.4707078 
forest mean 326 : -0.3708944 
forest RMSE 326 : 0.05754696 

nnet 326 : -0.02110854 
nnet mean 326 : -0.4155493 
nnet RMSE 326 : 0.1488697 


s: 327 
logit 327 : -0.3743922 
logit mean 327 : -0.4158781 
logit RMSE 327 : 0.058787 

boosting 327 : -0.5726188 
boosting mean 327 : -0.4715968 
boosting RMSE 327 : 0.1322644 

forest 327 : -0.3140772 
forest mean 327 : -0.3707206 
forest RMSE 327 : 0.05765503 

nnet 327 : -0.3436069 
nnet mean 327 : -0.4153293 
nnet RMSE 327 : 0.1486746 


s: 328 
logit 328 : -0.4690308 
logit mean 328 : -0.4160402 
logit RMSE 328 : 0.05882095 

boosting 328 : -0.5304185 
boosting mean 328 : -0.4717762 
boosting RMSE 328 : 0.1322588 

forest 328 : -0.4024547 
forest mean 328 : -0.3708174 
forest RMSE 328 : 0.05756723 

nnet 328 : -0.5657971 
nnet mean 328 : -0.4157880 
nnet RMSE 328 : 0.1487298 


s: 329 
logit 329 : -0.291461 
logit mean 329 : -0.4156615 
logit RMSE 329 : 0.05903554 

boosting 329 : -0.3816915 
boosting mean 329 : -0.4715024 
boosting RMSE 329 : 0.1320615 

forest 329 : -0.3921944 
forest mean 329 : -0.3708824 
forest RMSE 329 : 0.05748129 

nnet 329 : -0.568529 
nnet mean 329 : -0.4162523 
nnet RMSE 329 : 0.148794 


s: 330 
logit 330 : -0.4205625 
logit mean 330 : -0.4156764 
logit RMSE 330 : 0.05895689 

boosting 330 : -0.3341697 
boosting mean 330 : -0.4710862 
boosting RMSE 330 : 0.131911 

forest 330 : -0.3939491 
forest mean 330 : -0.3709523 
forest RMSE 330 : 0.0573951 

nnet 330 : -0.5192859 
nnet mean 330 : -0.4165645 
nnet RMSE 330 : 0.1487134 


s: 331 
logit 331 : -0.4974998 
logit mean 331 : -0.4159236 
logit RMSE 331 : 0.0591112 

boosting 331 : -0.725896 
boosting mean 331 : -0.471856 
boosting RMSE 331 : 0.1329241 

forest 331 : -0.3810734 
forest mean 331 : -0.3709828 
forest RMSE 331 : 0.05731777 

nnet 331 : -0.4944371 
nnet mean 331 : -0.4167998 
nnet RMSE 331 : 0.1485793 


s: 332 
logit 332 : -0.4184225 
logit mean 332 : -0.4159311 
logit RMSE 332 : 0.05903077 

boosting 332 : -0.3143528 
boosting mean 332 : -0.4713816 
boosting RMSE 332 : 0.1328070 

forest 332 : -0.4059791 
forest mean 332 : -0.3710883 
forest RMSE 332 : 0.05723233 

nnet 332 : -0.5591362 
nnet mean 332 : -0.4172285 
nnet RMSE 332 : 0.1486122 


s: 333 
logit 333 : -0.4517448 
logit mean 333 : -0.4160386 
logit RMSE 333 : 0.05901023 

boosting 333 : -0.6677092 
boosting mean 333 : -0.4719712 
boosting RMSE 333 : 0.1334164 

forest 333 : -0.3186416 
forest mean 333 : -0.3709308 
forest RMSE 333 : 0.05731998 

nnet 333 : -0.3797534 
nnet mean 333 : -0.417116 
nnet RMSE 333 : 0.1483931 


s: 334 
logit 334 : -0.4735071 
logit mean 334 : -0.4162107 
logit RMSE 334 : 0.05905895 

boosting 334 : -0.5024569 
boosting mean 334 : -0.4720624 
boosting RMSE 334 : 0.1333345 

forest 334 : -0.374237 
forest mean 334 : -0.3709407 
forest RMSE 334 : 0.05725147 

nnet 334 : -0.4768363 
nnet mean 334 : -0.4172948 
nnet RMSE 334 : 0.1482304 


s: 335 
logit 335 : -0.4474465 
logit mean 335 : -0.4163039 
logit RMSE 335 : 0.05902768 

boosting 335 : -0.4581337 
boosting mean 335 : -0.4720209 
boosting RMSE 335 : 0.1331732 

forest 335 : -0.4269333 
forest mean 335 : -0.3711078 
forest RMSE 335 : 0.05718489 

nnet 335 : -0.1333153 
nnet mean 335 : -0.4164471 
nnet RMSE 335 : 0.1487245 


s: 336 
logit 336 : -0.4493125 
logit mean 336 : -0.4164022 
logit RMSE 336 : 0.05900114 

boosting 336 : -0.5832617 
boosting mean 336 : -0.4723519 
boosting RMSE 336 : 0.1333502 

forest 336 : -0.4020017 
forest mean 336 : -0.3711997 
forest RMSE 336 : 0.05709983 

nnet 336 : -0.5963392 
nnet mean 336 : -0.4169825 
nnet RMSE 336 : 0.1488888 


s: 337 
logit 337 : -0.4047565 
logit mean 337 : -0.4163676 
logit RMSE 337 : 0.05891411 

boosting 337 : -0.6579442 
boosting mean 337 : -0.4729027 
boosting RMSE 337 : 0.1338915 

forest 337 : -0.4039569 
forest mean 337 : -0.3712970 
forest RMSE 337 : 0.05701546 

nnet 337 : -0.4801533 
nnet mean 337 : -0.4171699 
nnet RMSE 337 : 0.1487318 


s: 338 
logit 338 : -0.3782248 
logit mean 338 : -0.4162548 
logit RMSE 338 : 0.05883882 

boosting 338 : -0.5660692 
boosting mean 338 : -0.4731783 
boosting RMSE 338 : 0.1339981 

forest 338 : -0.3953162 
forest mean 338 : -0.371368 
forest RMSE 338 : 0.05693163 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 338 : -0.2523311 
nnet mean 338 : -0.4166822 
nnet RMSE 338 : 0.1487287 


s: 339 
logit 339 : -0.4591771 
logit mean 339 : -0.4163814 
logit RMSE 339 : 0.05883982 

boosting 339 : -0.388531 
boosting mean 339 : -0.4729286 
boosting RMSE 339 : 0.1338018 

forest 339 : -0.3754423 
forest mean 339 : -0.37138 
forest RMSE 339 : 0.05686324 

nnet 339 : -0.7811947 
nnet mean 339 : -0.4177575 
nnet RMSE 339 : 0.1499453 


s: 340 
logit 340 : -0.3880291 
logit mean 340 : -0.416298 
logit RMSE 340 : 0.05875681 

boosting 340 : -0.353092 
boosting mean 340 : -0.4725761 
boosting RMSE 340 : 0.1336291 

forest 340 : -0.3594747 
forest mean 340 : -0.371345 
forest RMSE 340 : 0.05682207 

nnet 340 : -0.01457217 
nnet mean 340 : -0.4165717 
nnet RMSE 340 : 0.1511767 


s: 341 
logit 341 : -0.4381583 
logit mean 341 : -0.4163621 
logit RMSE 341 : 0.05870697 

boosting 341 : -0.3271864 
boosting mean 341 : -0.4721498 
boosting RMSE 341 : 0.1334913 

forest 341 : -0.4680514 
forest mean 341 : -0.3716286 
forest RMSE 341 : 0.05685825 

nnet 341 : -0.451165 
nnet mean 341 : -0.4166731 
nnet RMSE 341 : 0.1509803 


s: 342 
logit 342 : -0.4244962 
logit mean 342 : -0.4163859 
logit RMSE 342 : 0.05863604 

boosting 342 : -0.2704891 
boosting mean 342 : -0.4715601 
boosting RMSE 342 : 0.1334798 

forest 342 : -0.361357 
forest mean 342 : -0.3715986 
forest RMSE 342 : 0.0568135 

nnet 342 : -0.4171669 
nnet mean 342 : -0.4166745 
nnet RMSE 342 : 0.1507623 


s: 343 
logit 343 : -0.4588307 
logit mean 343 : -0.4165096 
logit RMSE 343 : 0.05863661 

boosting 343 : -0.5378073 
boosting mean 343 : -0.4717533 
boosting RMSE 343 : 0.1334926 

forest 343 : -0.3120264 
forest mean 343 : -0.3714249 
forest RMSE 343 : 0.05692914 

nnet 343 : -0.4863615 
nnet mean 343 : -0.4168777 
nnet RMSE 343 : 0.1506146 


s: 344 
logit 344 : -0.4087104 
logit mean 344 : -0.416487 
logit RMSE 344 : 0.0585532 

boosting 344 : -0.543978 
boosting mean 344 : -0.4719632 
boosting RMSE 344 : 0.1335243 

forest 344 : -0.3487323 
forest mean 344 : -0.3713589 
forest RMSE 344 : 0.0569135 

nnet 344 : -0.4150456 
nnet mean 344 : -0.4168724 
nnet RMSE 344 : 0.1503977 


s: 345 
logit 345 : -0.3424031 
logit mean 345 : -0.4162722 
logit RMSE 345 : 0.05855046 

boosting 345 : -0.4353649 
boosting mean 345 : -0.4718571 
boosting RMSE 345 : 0.1333442 

forest 345 : -0.3788762 
forest mean 345 : -0.3713807 
forest RMSE 345 : 0.05684233 

nnet 345 : -0.5056781 
nnet mean 345 : -0.4171298 
nnet RMSE 345 : 0.1502873 


s: 346 
logit 346 : -0.3932445 
logit mean 346 : -0.4162057 
logit RMSE 346 : 0.05846691 

boosting 346 : -0.4470333 
boosting mean 346 : -0.4717854 
boosting RMSE 346 : 0.1331754 

forest 346 : -0.3404658 
forest mean 346 : -0.3712914 
forest RMSE 346 : 0.0568503 

nnet 346 : -0.3488713 
nnet mean 346 : -0.4169325 
nnet RMSE 346 : 0.1500951 


s: 347 
logit 347 : -0.4687633 
logit mean 347 : -0.4163571 
logit RMSE 347 : 0.05849919 

boosting 347 : -0.4549945 
boosting mean 347 : -0.471737 
boosting RMSE 347 : 0.1330161 

forest 347 : -0.3582457 
forest mean 347 : -0.3712538 
forest RMSE 347 : 0.05681256 

nnet 347 : -0.502689 
nnet mean 347 : -0.4171797 
nnet RMSE 347 : 0.1499800 


s: 348 
logit 348 : -0.3780525 
logit mean 348 : -0.4162471 
logit RMSE 348 : 0.05842692 

boosting 348 : -0.5138752 
boosting mean 348 : -0.4718581 
boosting RMSE 348 : 0.1329651 

forest 348 : -0.3130771 
forest mean 348 : -0.3710866 
forest RMSE 348 : 0.0569219 

nnet 348 : -0.2875576 
nnet mean 348 : -0.4168072 
nnet RMSE 348 : 0.1498856 


s: 349 
logit 349 : -0.3571207 
logit mean 349 : -0.4160777 
logit RMSE 349 : 0.05838829 

boosting 349 : -0.3148976 
boosting mean 349 : -0.4714084 
boosting RMSE 349 : 0.1328526 

forest 349 : -0.3351487 
forest mean 349 : -0.3709836 
forest RMSE 349 : 0.0569462 

nnet 349 : -0.6185736 
nnet mean 349 : -0.4173853 
nnet RMSE 349 : 0.1501273 


s: 350 
logit 350 : -0.3833123 
logit mean 350 : -0.4159840 
logit RMSE 350 : 0.05831164 

boosting 350 : -0.4542838 
boosting mean 350 : -0.4713594 
boosting RMSE 350 : 0.1326944 

forest 350 : -0.3194241 
forest mean 350 : -0.3708363 
forest RMSE 350 : 0.05702766 

nnet 350 : -0.5940231 
nnet mean 350 : -0.41789 
nnet RMSE 350 : 0.1502710 


s: 351 
logit 351 : -0.4200147 
logit mean 351 : -0.4159955 
logit RMSE 351 : 0.05823832 

boosting 351 : -0.5198319 
boosting mean 351 : -0.4714975 
boosting RMSE 351 : 0.1326595 

forest 351 : -0.3084728 
forest mean 351 : -0.3706586 
forest RMSE 351 : 0.05715554 

nnet 351 : -0.4035872 
nnet mean 351 : -0.4178492 
nnet RMSE 351 : 0.1500569 


s: 352 
logit 352 : -0.3139225 
logit mean 352 : -0.4157055 
logit RMSE 352 : 0.05833622 

boosting 352 : -0.4123329 
boosting mean 352 : -0.4713294 
boosting RMSE 352 : 0.1324726 

forest 352 : -0.3246403 
forest mean 352 : -0.3705279 
forest RMSE 352 : 0.05721546 

nnet 352 : -0.2435843 
nnet mean 352 : -0.4173542 
nnet RMSE 352 : 0.1500754 


s: 353 
logit 353 : -0.5105948 
logit mean 353 : -0.4159744 
logit RMSE 353 : 0.05855018 

boosting 353 : -0.5171785 
boosting mean 353 : -0.4714593 
boosting RMSE 353 : 0.1324317 

forest 353 : -0.3465794 
forest mean 353 : -0.3704601 
forest RMSE 353 : 0.05720507 

nnet 353 : -0.2600662 
nnet mean 353 : -0.4169086 
nnet RMSE 353 : 0.1500476 


s: 354 
logit 354 : -0.3964279 
logit mean 354 : -0.4159191 
logit RMSE 354 : 0.05846773 

boosting 354 : -0.4267376 
boosting mean 354 : -0.471333 
boosting RMSE 354 : 0.1322522 

forest 354 : -0.3904153 
forest mean 354 : -0.3705164 
forest RMSE 354 : 0.05712648 

nnet 354 : -0.3685678 
nnet mean 354 : -0.416772 
nnet RMSE 354 : 0.1498449 


s: 355 
logit 355 : -0.4005107 
logit mean 355 : -0.4158757 
logit RMSE 355 : 0.05838533 

boosting 355 : -0.4603004 
boosting mean 355 : -0.4713019 
boosting RMSE 355 : 0.1321046 

forest 355 : -0.3074282 
forest mean 355 : -0.3703387 
forest RMSE 355 : 0.05725716 

nnet 355 : -0.6168921 
nnet mean 355 : -0.4173358 
nnet RMSE 355 : 0.1500758 


s: 356 
logit 356 : -0.4458911 
logit mean 356 : -0.4159600 
logit RMSE 356 : 0.05835398 

boosting 356 : -0.3513659 
boosting mean 356 : -0.470965 
boosting RMSE 356 : 0.1319441 

forest 356 : -0.429385 
forest mean 356 : -0.3705046 
forest RMSE 356 : 0.05719789 

nnet 356 : -0.1567311 
nnet mean 356 : -0.4166037 
nnet RMSE 356 : 0.1504185 


s: 357 
logit 357 : -0.4668649 
logit mean 357 : -0.4161026 
logit RMSE 357 : 0.05837956 

boosting 357 : -0.4499274 
boosting mean 357 : -0.4709061 
boosting RMSE 357 : 0.1317856 

forest 357 : -0.3967716 
forest mean 357 : -0.3705782 
forest RMSE 357 : 0.05711798 

nnet 357 : -0.3243276 
nnet mean 357 : -0.4163452 
nnet RMSE 357 : 0.1502610 


s: 358 
logit 358 : -0.4770974 
logit mean 358 : -0.416273 
logit RMSE 358 : 0.05844019 

boosting 358 : -0.4774426 
boosting mean 358 : -0.4709243 
boosting RMSE 358 : 0.1316651 

forest 358 : -0.3803709 
forest mean 358 : -0.3706055 
forest RMSE 358 : 0.05704758 

nnet 358 : -0.2881954 
nnet mean 358 : -0.4159873 
nnet RMSE 358 : 0.1501673 


s: 359 
logit 359 : -0.5347063 
logit mean 359 : -0.4166029 
logit RMSE 359 : 0.0587902 

boosting 359 : -0.4905951 
boosting mean 359 : -0.4709791 
boosting RMSE 359 : 0.1315685 

forest 359 : -0.3217127 
forest mean 359 : -0.3704693 
forest RMSE 359 : 0.05711772 

nnet 359 : -0.4788829 
nnet mean 359 : -0.4161625 
nnet RMSE 359 : 0.1500158 


s: 360 
logit 360 : -0.388621 
logit mean 360 : -0.4165252 
logit RMSE 360 : 0.05871156 

boosting 360 : -0.4469148 
boosting mean 360 : -0.4709123 
boosting RMSE 360 : 0.1314089 

forest 360 : -0.418033 
forest mean 360 : -0.3706014 
forest RMSE 360 : 0.05704625 

nnet 360 : -0.5525641 
nnet mean 360 : -0.4165414 
nnet RMSE 360 : 0.1500230 


s: 361 
logit 361 : -0.4417547 
logit mean 361 : -0.4165951 
logit RMSE 361 : 0.05867136 

boosting 361 : -0.3697189 
boosting mean 361 : -0.470632 
boosting RMSE 361 : 0.1312364 

forest 361 : -0.3746298 
forest mean 361 : -0.3706126 
forest RMSE 361 : 0.05698283 

nnet 361 : -0.6507661 
nnet mean 361 : -0.4171902 
nnet RMSE 361 : 0.1503953 


s: 362 
logit 362 : -0.2794019 
logit mean 362 : -0.4162161 
logit RMSE 362 : 0.05893212 

boosting 362 : -0.3795986 
boosting mean 362 : -0.4703805 
boosting RMSE 362 : 0.1310594 

forest 362 : -0.3997816 
forest mean 362 : -0.3706932 
forest RMSE 362 : 0.05690407 

nnet 362 : -0.3080880 
nnet mean 362 : -0.4168888 
nnet RMSE 362 : 0.1502651 


s: 363 
logit 363 : -0.4321682 
logit mean 363 : -0.41626 
logit RMSE 363 : 0.05887511 

boosting 363 : -0.4318632 
boosting mean 363 : -0.4702744 
boosting RMSE 363 : 0.1308895 

forest 363 : -0.3647466 
forest mean 363 : -0.3706768 
forest RMSE 363 : 0.05685575 

nnet 363 : -0.2367725 
nnet mean 363 : -0.4163926 
nnet RMSE 363 : 0.1503023 


s: 364 
logit 364 : -0.4534621 
logit mean 364 : -0.4163622 
logit RMSE 364 : 0.05886092 

boosting 364 : -0.5244767 
boosting mean 364 : -0.4704233 
boosting RMSE 364 : 0.1308723 

forest 364 : -0.3959067 
forest mean 364 : -0.3707461 
forest RMSE 364 : 0.05677801 

nnet 364 : -0.3896211 
nnet mean 364 : -0.4163191 
nnet RMSE 364 : 0.1500967 


s: 365 
logit 365 : -0.3714318 
logit mean 365 : -0.4162391 
logit RMSE 365 : 0.05879925 

boosting 365 : -0.4208257 
boosting mean 365 : -0.4702874 
boosting RMSE 365 : 0.1306974 

forest 365 : -0.3711041 
forest mean 365 : -0.3707471 
forest RMSE 365 : 0.05672034 

nnet 365 : -0.1521623 
nnet mean 365 : -0.4155954 
nnet RMSE 365 : 0.1504512 


s: 366 
logit 366 : -0.4863514 
logit mean 366 : -0.4164307 
logit RMSE 366 : 0.05889209 

boosting 366 : -0.7709362 
boosting mean 366 : -0.4711089 
boosting RMSE 366 : 0.1319511 

forest 366 : -0.2786523 
forest mean 366 : -0.3704955 
forest RMSE 366 : 0.05699684 

nnet 366 : -0.3431780 
nnet mean 366 : -0.4153975 
nnet RMSE 366 : 0.1502749 


s: 367 
logit 367 : -0.4118886 
logit mean 367 : -0.4164183 
logit RMSE 367 : 0.05881508 

boosting 367 : -0.3771191 
boosting mean 367 : -0.4708528 
boosting RMSE 367 : 0.1317766 

forest 367 : -0.3318803 
forest mean 367 : -0.3703902 
forest RMSE 367 : 0.0570301 

nnet 367 : -0.4143458 
nnet mean 367 : -0.4153946 
nnet RMSE 367 : 0.1500719 


s: 368 
logit 368 : -0.4024273 
logit mean 368 : -0.4163803 
logit RMSE 368 : 0.05873525 

boosting 368 : -0.4919563 
boosting mean 368 : -0.4709101 
boosting RMSE 368 : 0.1316847 

forest 368 : -0.3584494 
forest mean 368 : -0.3703578 
forest RMSE 368 : 0.05699373 

nnet 368 : -0.4762132 
nnet mean 368 : -0.4155599 
nnet RMSE 368 : 0.1499205 


s: 369 
logit 369 : -0.4024113 
logit mean 369 : -0.4163424 
logit RMSE 369 : 0.05865574 

boosting 369 : -0.3305040 
boosting mean 369 : -0.4705296 
boosting RMSE 369 : 0.1315559 

forest 369 : -0.3351565 
forest mean 369 : -0.3702624 
forest RMSE 369 : 0.05701647 

nnet 369 : -0.3590873 
nnet mean 369 : -0.4154068 
nnet RMSE 369 : 0.1497324 


s: 370 
logit 370 : -0.4241236 
logit mean 370 : -0.4163635 
logit RMSE 370 : 0.05858985 

boosting 370 : -0.302518 
boosting mean 370 : -0.4700755 
boosting RMSE 370 : 0.1314757 

forest 370 : -0.4376937 
forest mean 370 : -0.3704447 
forest RMSE 370 : 0.05697308 

nnet 370 : -0.2763198 
nnet mean 370 : -0.4150309 
nnet RMSE 370 : 0.1496681 


s: 371 
logit 371 : -0.4326109 
logit mean 371 : -0.4164073 
logit RMSE 371 : 0.05853532 

boosting 371 : -0.4547045 
boosting mean 371 : -0.4700341 
boosting RMSE 371 : 0.1313291 

forest 371 : -0.4224013 
forest mean 371 : -0.3705847 
forest RMSE 371 : 0.05690813 

nnet 371 : -0.5086237 
nnet mean 371 : -0.4152832 
nnet RMSE 371 : 0.1495726 


s: 372 
logit 372 : -0.4412343 
logit mean 372 : -0.416474 
logit RMSE 372 : 0.05849567 

boosting 372 : -0.7151187 
boosting mean 372 : -0.4706929 
boosting RMSE 372 : 0.1321662 

forest 372 : -0.4041171 
forest mean 372 : -0.3706748 
forest RMSE 372 : 0.05683199 

nnet 372 : -0.5410427 
nnet mean 372 : -0.4156213 
nnet RMSE 372 : 0.1495503 


s: 373 
logit 373 : -0.3673811 
logit mean 373 : -0.4163424 
logit RMSE 373 : 0.05844162 

boosting 373 : -0.5503259 
boosting mean 373 : -0.4709064 
boosting RMSE 373 : 0.1322182 

forest 373 : -0.4366022 
forest mean 373 : -0.3708516 
forest RMSE 373 : 0.05678739 

nnet 373 : -0.4134034 
nnet mean 373 : -0.4156153 
nnet RMSE 373 : 0.1493513 


s: 374 
logit 374 : -0.405932 
logit mean 374 : -0.4163146 
logit RMSE 374 : 0.05836424 

boosting 374 : -0.5114055 
boosting mean 374 : -0.4710147 
boosting RMSE 374 : 0.1321669 

forest 374 : -0.4068515 
forest mean 374 : -0.3709478 
forest RMSE 374 : 0.05671252 

nnet 374 : -0.5989884 
nnet mean 374 : -0.4161056 
nnet RMSE 374 : 0.1495060 


s: 375 
logit 375 : -0.3595746 
logit mean 375 : -0.4161633 
logit RMSE 375 : 0.05832374 

boosting 375 : -0.4781375 
boosting mean 375 : -0.4710337 
boosting RMSE 375 : 0.1320523 

forest 375 : -0.422071 
forest mean 375 : -0.3710842 
forest RMSE 375 : 0.05664832 

nnet 375 : -0.4123579 
nnet mean 375 : -0.4160956 
nnet RMSE 375 : 0.1493079 


s: 376 
logit 376 : -0.3436779 
logit mean 376 : -0.4159705 
logit RMSE 376 : 0.05831851 

boosting 376 : -0.5957521 
boosting mean 376 : -0.4713654 
boosting RMSE 376 : 0.1322624 

forest 376 : -0.3471892 
forest mean 376 : -0.3710206 
forest RMSE 376 : 0.05663846 

nnet 376 : -0.4652941 
nnet mean 376 : -0.4162265 
nnet RMSE 376 : 0.1491472 


s: 377 
logit 377 : -0.4811437 
logit mean 377 : -0.4161433 
logit RMSE 377 : 0.05839086 

boosting 377 : -0.4091405 
boosting mean 377 : -0.4712003 
boosting RMSE 377 : 0.1320877 

forest 377 : -0.4374138 
forest mean 377 : -0.3711967 
forest RMSE 377 : 0.0565961 

nnet 377 : -0.6968734 
nnet mean 377 : -0.4169709 
nnet RMSE 377 : 0.149732 


s: 378 
logit 378 : -0.5065071 
logit mean 378 : -0.4163824 
logit RMSE 378 : 0.05857032 

boosting 378 : -0.5264777 
boosting mean 378 : -0.4713466 
boosting RMSE 378 : 0.1320732 

forest 378 : -0.3095773 
forest mean 378 : -0.3710337 
forest RMSE 378 : 0.05671222 

nnet 378 : -0.4181129 
nnet mean 378 : -0.4169739 
nnet RMSE 378 : 0.1495367 


s: 379 
logit 379 : -0.3552896 
logit mean 379 : -0.4162212 
logit RMSE 379 : 0.05853807 

boosting 379 : -0.3403357 
boosting mean 379 : -0.4710009 
boosting RMSE 379 : 0.1319344 

forest 379 : -0.4047169 
forest mean 379 : -0.3711226 
forest RMSE 379 : 0.05663787 

nnet 379 : -0.6624392 
nnet mean 379 : -0.4176216 
nnet RMSE 379 : 0.1499465 


s: 380 
logit 380 : -0.3692695 
logit mean 380 : -0.4160977 
logit RMSE 380 : 0.05848224 

boosting 380 : -0.3966387 
boosting mean 380 : -0.4708052 
boosting RMSE 380 : 0.1317608 

forest 380 : -0.3375179 
forest mean 380 : -0.3710342 
forest RMSE 380 : 0.05665404 

nnet 380 : -0.483906 
nnet mean 380 : -0.417796 
nnet RMSE 380 : 0.1498109 


s: 381 
logit 381 : -0.4760792 
logit mean 381 : -0.4162551 
logit RMSE 381 : 0.05853536 

boosting 381 : -0.5926439 
boosting mean 381 : -0.471125 
boosting RMSE 381 : 0.1319574 

forest 381 : -0.4351533 
forest mean 381 : -0.3712024 
forest RMSE 381 : 0.0566083 

nnet 381 : -0.4625532 
nnet mean 381 : -0.4179135 
nnet RMSE 381 : 0.1496485 


s: 382 
logit 382 : -0.4851498 
logit mean 382 : -0.4164354 
logit RMSE 382 : 0.0586208 

boosting 382 : -0.4996041 
boosting mean 382 : -0.4711996 
boosting RMSE 382 : 0.1318830 

forest 382 : -0.3872716 
forest mean 382 : -0.3712445 
forest RMSE 382 : 0.0565379 

nnet 382 : -0.371185 
nnet mean 382 : -0.4177912 
nnet RMSE 382 : 0.1494598 


s: 383 
logit 383 : -0.4475184 
logit mean 383 : -0.4165166 
logit RMSE 383 : 0.05859455 

boosting 383 : -0.5671024 
boosting mean 383 : -0.4714499 
boosting RMSE 383 : 0.1319872 

forest 383 : -0.3841345 
forest mean 383 : -0.3712782 
forest RMSE 383 : 0.05646987 

nnet 383 : -0.5350604 
nnet mean 383 : -0.4180974 
nnet RMSE 383 : 0.149424 


s: 384 
logit 384 : -0.3730032 
logit mean 384 : -0.4164033 
logit RMSE 384 : 0.05853442 

boosting 384 : -0.3536105 
boosting mean 384 : -0.4711431 
boosting RMSE 384 : 0.1318365 

forest 384 : -0.3159521 
forest mean 384 : -0.3711341 
forest RMSE 384 : 0.05655915 

nnet 384 : -0.02294659 
nnet mean 384 : -0.4170683 
nnet RMSE 384 : 0.1504647 


s: 385 
logit 385 : -0.4786307 
logit mean 385 : -0.4165649 
logit RMSE 385 : 0.05859555 

boosting 385 : -0.4420644 
boosting mean 385 : -0.4710675 
boosting RMSE 385 : 0.1316826 

forest 385 : -0.3739261 
forest mean 385 : -0.3711413 
forest RMSE 385 : 0.05650128 

nnet 385 : -0.5401262 
nnet mean 385 : -0.4173879 
nnet RMSE 385 : 0.1504387 


s: 386 
logit 386 : -0.4299318 
logit mean 386 : -0.4165995 
logit RMSE 386 : 0.05853943 

boosting 386 : -0.6040534 
boosting mean 386 : -0.4714121 
boosting RMSE 386 : 0.1319214 

forest 386 : -0.4237263 
forest mean 386 : -0.3712776 
forest RMSE 386 : 0.05644096 

nnet 386 : -0.6180487 
nnet mean 386 : -0.4179078 
nnet RMSE 386 : 0.1506531 


s: 387 
logit 387 : -0.4867384 
logit mean 387 : -0.4167808 
logit RMSE 387 : 0.05862977 

boosting 387 : -0.4833969 
boosting mean 387 : -0.471443 
boosting RMSE 387 : 0.1318191 

forest 387 : -0.4536892 
forest mean 387 : -0.3714905 
forest RMSE 387 : 0.05643403 

nnet 387 : -0.6907678 
nnet mean 387 : -0.4186129 
nnet RMSE 387 : 0.1511826 


s: 388 
logit 388 : -0.3290933 
logit mean 388 : -0.4165548 
logit RMSE 388 : 0.05866472 

boosting 388 : -0.592326 
boosting mean 388 : -0.4717546 
boosting RMSE 388 : 0.1320107 

forest 388 : -0.3796464 
forest mean 388 : -0.3715115 
forest RMSE 388 : 0.05637073 

nnet 388 : -0.4177042 
nnet mean 388 : -0.4186105 
nnet RMSE 388 : 0.1509903 


s: 389 
logit 389 : -0.3420875 
logit mean 389 : -0.4163633 
logit RMSE 389 : 0.0586628 

boosting 389 : -0.5910513 
boosting mean 389 : -0.4720613 
boosting RMSE 389 : 0.1321963 

forest 389 : -0.4402854 
forest mean 389 : -0.3716883 
forest RMSE 389 : 0.05633526 

nnet 389 : -0.48235 
nnet mean 389 : -0.4187744 
nnet RMSE 389 : 0.1508539 


s: 390 
logit 390 : -0.3621343 
logit mean 390 : -0.4162243 
logit RMSE 390 : 0.05861891 

boosting 390 : -0.4822806 
boosting mean 390 : -0.4720875 
boosting RMSE 390 : 0.1320924 

forest 390 : -0.374756 
forest mean 390 : -0.3716962 
forest RMSE 390 : 0.05627751 

nnet 390 : -0.2158421 
nnet mean 390 : -0.418254 
nnet RMSE 390 : 0.1509487 


s: 391 
logit 391 : -0.3340284 
logit mean 391 : -0.4160141 
logit RMSE 391 : 0.05863889 

boosting 391 : -0.3940167 
boosting mean 391 : -0.4718878 
boosting RMSE 391 : 0.1319237 

forest 391 : -0.4216805 
forest mean 391 : -0.3718240 
forest RMSE 391 : 0.05621619 

nnet 391 : -0.0800152 
nnet mean 391 : -0.417389 
nnet RMSE 391 : 0.1516216 


s: 392 
logit 392 : -0.4158477 
logit mean 392 : -0.4160136 
logit RMSE 392 : 0.05856952 

boosting 392 : -0.5402714 
boosting mean 392 : -0.4720623 
boosting RMSE 392 : 0.1319457 

forest 392 : -0.4237474 
forest mean 392 : -0.3719565 
forest RMSE 392 : 0.05615725 

nnet 392 : -0.7325311 
nnet mean 392 : -0.4181929 
nnet RMSE 392 : 0.1523566 


s: 393 
logit 393 : -0.3993569 
logit mean 393 : -0.4159713 
logit RMSE 393 : 0.05849496 

boosting 393 : -0.2293843 
boosting mean 393 : -0.4714447 
boosting RMSE 393 : 0.1320584 

forest 393 : -0.3712068 
forest mean 393 : -0.3719546 
forest RMSE 393 : 0.05610456 

nnet 393 : -0.4682922 
nnet mean 393 : -0.4183204 
nnet RMSE 393 : 0.1522016 


s: 394 
logit 394 : -0.3990771 
logit mean 394 : -0.4159284 
logit RMSE 394 : 0.0584207 

boosting 394 : -0.3655364 
boosting mean 394 : -0.4711759 
boosting RMSE 394 : 0.1319022 

forest 394 : -0.3880043 
forest mean 394 : -0.3719953 
forest RMSE 394 : 0.05603658 

nnet 394 : -0.3373662 
nnet mean 394 : -0.4181149 
nnet RMSE 394 : 0.1520411 


s: 395 
logit 395 : -0.4874629 
logit mean 395 : -0.4161095 
logit RMSE 395 : 0.05851243 

boosting 395 : -0.6880867 
boosting mean 395 : -0.4717251 
boosting RMSE 395 : 0.1325302 

forest 395 : -0.4030013 
forest mean 395 : -0.3720738 
forest RMSE 395 : 0.0559658 

nnet 395 : -0.4154298 
nnet mean 395 : -0.4181081 
nnet RMSE 395 : 0.1518505 


s: 396 
logit 396 : -0.4949125 
logit mean 396 : -0.4163085 
logit RMSE 396 : 0.05863282 

boosting 396 : -0.4904884 
boosting mean 396 : -0.4717725 
boosting RMSE 396 : 0.1324408 

forest 396 : -0.3953799 
forest mean 396 : -0.3721327 
forest RMSE 396 : 0.05589558 

nnet 396 : -0.6230985 
nnet mean 396 : -0.4186258 
nnet RMSE 396 : 0.1520725 


s: 397 
logit 397 : -0.3822375 
logit mean 397 : -0.4162227 
logit RMSE 397 : 0.05856571 

boosting 397 : -0.7655278 
boosting mean 397 : -0.4725124 
boosting RMSE 397 : 0.1335400 

forest 397 : -0.3813865 
forest mean 397 : -0.372156 
forest RMSE 397 : 0.05583295 

nnet 397 : -0.4097758 
nnet mean 397 : -0.4186035 
nnet RMSE 397 : 0.1518816 


s: 398 
logit 398 : -0.3877984 
logit mean 398 : -0.4161512 
logit RMSE 398 : 0.05849529 

boosting 398 : -0.2691867 
boosting mean 398 : -0.4720015 
boosting RMSE 398 : 0.1335333 

forest 398 : -0.3628675 
forest mean 398 : -0.3721326 
forest RMSE 398 : 0.05579382 

nnet 398 : -0.4481072 
nnet mean 398 : -0.4186776 
nnet RMSE 398 : 0.1517099 


s: 399 
logit 399 : -0.4335661 
logit mean 399 : -0.4161949 
logit RMSE 399 : 0.0584461 

boosting 399 : -0.5718633 
boosting mean 399 : -0.4722518 
boosting RMSE 399 : 0.1336431 

forest 399 : -0.4389277 
forest mean 399 : -0.3723001 
forest RMSE 399 : 0.05575793 

nnet 399 : -0.2567542 
nnet mean 399 : -0.4182718 
nnet RMSE 399 : 0.1516893 


s: 400 
logit 400 : -0.4643454 
logit mean 400 : -0.4163153 
logit RMSE 400 : 0.05846159 

boosting 400 : -0.4625518 
boosting mean 400 : -0.4722276 
boosting RMSE 400 : 0.1335125 

forest 400 : -0.4000965 
forest mean 400 : -0.3723695 
forest RMSE 400 : 0.05568819 

nnet 400 : -0.1904328 
nnet mean 400 : -0.4177022 
nnet RMSE 400 : 0.1518615 


s: 401 
logit 401 : -0.4216350 
logit mean 401 : -0.4163285 
logit RMSE 401 : 0.05839864 

boosting 401 : -0.6902173 
boosting mean 401 : -0.4727712 
boosting RMSE 401 : 0.1341312 

forest 401 : -0.4049535 
forest mean 401 : -0.3724508 
forest RMSE 401 : 0.05561926 

nnet 401 : -0.6978454 
nnet mean 401 : -0.4184008 
nnet RMSE 401 : 0.1523995 


s: 402 
logit 402 : -0.3995944 
logit mean 402 : -0.4162869 
logit RMSE 402 : 0.05832597 

boosting 402 : -0.5021504 
boosting mean 402 : -0.4728443 
boosting RMSE 402 : 0.1340611 

forest 402 : -0.3794788 
forest mean 402 : -0.3724683 
forest RMSE 402 : 0.05555946 

nnet 402 : -0.5657807 
nnet mean 402 : -0.4187674 
nnet RMSE 402 : 0.1524343 


s: 403 
logit 403 : -0.4209856 
logit mean 403 : -0.4162986 
logit RMSE 403 : 0.05826294 

boosting 403 : -0.4903146 
boosting mean 403 : -0.4728876 
boosting RMSE 403 : 0.1339703 

forest 403 : -0.3748743 
forest mean 403 : -0.3724743 
forest RMSE 403 : 0.0555046 

nnet 403 : -0.5745085 
nnet mean 403 : -0.4191539 
nnet RMSE 403 : 0.152493 


s: 404 
logit 404 : -0.4501214 
logit mean 404 : -0.4163823 
logit RMSE 404 : 0.05824419 

boosting 404 : -0.6664203 
boosting mean 404 : -0.4733667 
boosting RMSE 404 : 0.1344593 

forest 404 : -0.3808951 
forest mean 404 : -0.3724951 
forest RMSE 404 : 0.05544401 

nnet 404 : -0.5383192 
nnet mean 404 : -0.4194488 
nnet RMSE 404 : 0.1524596 


s: 405 
logit 405 : -0.3977397 
logit mean 405 : -0.4163363 
logit RMSE 405 : 0.05817235 

boosting 405 : -0.2872832 
boosting mean 405 : -0.4729072 
boosting RMSE 405 : 0.1344099 

forest 405 : -0.3645475 
forest mean 405 : -0.3724755 
forest RMSE 405 : 0.05540354 

nnet 405 : -0.4694645 
nnet mean 405 : -0.4195723 
nnet RMSE 405 : 0.1523103 


s: 406 
logit 406 : -0.3293186 
logit mean 406 : -0.4161219 
logit RMSE 406 : 0.05820646 

boosting 406 : -0.4941236 
boosting mean 406 : -0.4729594 
boosting RMSE 406 : 0.1343255 

forest 406 : -0.3620778 
forest mean 406 : -0.3724499 
forest RMSE 406 : 0.05536726 

nnet 406 : -0.523369 
nnet mean 406 : -0.419828 
nnet RMSE 406 : 0.1522458 


s: 407 
logit 407 : -0.507865 
logit mean 407 : -0.4163473 
logit RMSE 407 : 0.05838026 

boosting 407 : -0.5699947 
boosting mean 407 : -0.4731979 
boosting RMSE 407 : 0.1344248 

forest 407 : -0.3701638 
forest mean 407 : -0.3724442 
forest RMSE 407 : 0.05531897 

nnet 407 : -0.2128629 
nnet mean 407 : -0.4193195 
nnet RMSE 407 : 0.1523413 


s: 408 
logit 408 : -0.4554453 
logit mean 408 : -0.4164432 
logit RMSE 408 : 0.05837324 

boosting 408 : -0.5934606 
boosting mean 408 : -0.4734926 
boosting RMSE 408 : 0.1346011 

forest 408 : -0.4223628 
forest mean 408 : -0.3725666 
forest RMSE 408 : 0.05526223 

nnet 408 : -0.3911943 
nnet mean 408 : -0.4192505 
nnet RMSE 408 : 0.1521551 


s: 409 
logit 409 : -0.3287597 
logit mean 409 : -0.4162288 
logit RMSE 409 : 0.05840816 

boosting 409 : -0.4571631 
boosting mean 409 : -0.4734527 
boosting RMSE 409 : 0.1344662 

forest 409 : -0.3560126 
forest mean 409 : -0.3725261 
forest RMSE 409 : 0.05523747 

nnet 409 : -0.3080592 
nnet mean 409 : -0.4189787 
nnet RMSE 409 : 0.152037 


s: 410 
logit 410 : -0.294255 
logit mean 410 : -0.4159313 
logit RMSE 410 : 0.05857018 

boosting 410 : -0.3667182 
boosting mean 410 : -0.4731924 
boosting RMSE 410 : 0.1343122 

forest 410 : -0.4025626 
forest mean 410 : -0.3725994 
forest RMSE 410 : 0.05517021 

nnet 410 : -0.5729221 
nnet mean 410 : -0.4193542 
nnet RMSE 410 : 0.1520914 


s: 411 
logit 411 : -0.446447 
logit mean 411 : -0.4160055 
logit RMSE 411 : 0.05854373 

boosting 411 : -0.5504431 
boosting mean 411 : -0.4733803 
boosting RMSE 411 : 0.1343538 

forest 411 : -0.381297 
forest mean 411 : -0.3726205 
forest RMSE 411 : 0.05511077 

nnet 411 : -0.3445484 
nnet mean 411 : -0.4191721 
nnet RMSE 411 : 0.1519309 


s: 412 
logit 412 : -0.3328550 
logit mean 412 : -0.4158037 
logit RMSE 412 : 0.05856613 

boosting 412 : -0.504065 
boosting mean 412 : -0.4734548 
boosting RMSE 412 : 0.1342885 

forest 412 : -0.3073341 
forest mean 412 : -0.3724621 
forest RMSE 412 : 0.05523285 

nnet 412 : -0.2872368 
nnet mean 412 : -0.4188519 
nnet RMSE 412 : 0.1518481 


s: 413 
logit 413 : -0.4167752 
logit mean 413 : -0.4158061 
logit RMSE 413 : 0.05850101 

boosting 413 : -0.458036 
boosting mean 413 : -0.4734175 
boosting RMSE 413 : 0.1341562 

forest 413 : -0.3934516 
forest mean 413 : -0.3725129 
forest RMSE 413 : 0.05516688 

nnet 413 : -0.4399243 
nnet mean 413 : -0.4189029 
nnet RMSE 413 : 0.1516769 


s: 414 
logit 414 : -0.3837532 
logit mean 414 : -0.4157286 
logit RMSE 414 : 0.05843577 

boosting 414 : -0.4378721 
boosting mean 414 : -0.4733316 
boosting RMSE 414 : 0.1340071 

forest 414 : -0.3676864 
forest mean 414 : -0.3725012 
forest RMSE 414 : 0.0551231 

nnet 414 : -0.2367444 
nnet mean 414 : -0.4184629 
nnet RMSE 414 : 0.1517059 


s: 415 
logit 415 : -0.3578545 
logit mean 415 : -0.4155892 
logit RMSE 415 : 0.05840198 

boosting 415 : -0.6408616 
boosting mean 415 : -0.4737353 
boosting RMSE 415 : 0.1343667 

forest 415 : -0.4232224 
forest mean 415 : -0.3726235 
forest RMSE 415 : 0.05506844 

nnet 415 : -0.1796283 
nnet mean 415 : -0.4178874 
nnet RMSE 415 : 0.1519087 


s: 416 
logit 416 : -0.3922185 
logit mean 416 : -0.415533 
logit RMSE 416 : 0.05833299 

boosting 416 : -0.5040469 
boosting mean 416 : -0.4738082 
boosting RMSE 416 : 0.1343020 

forest 416 : -0.3466316 
forest mean 416 : -0.372561 
forest RMSE 416 : 0.05506442 

nnet 416 : -0.4822286 
nnet mean 416 : -0.4180421 
nnet RMSE 416 : 0.1517795 


s: 417 
logit 417 : -0.4448001 
logit mean 417 : -0.4156032 
logit RMSE 417 : 0.05830429 

boosting 417 : -0.5382805 
boosting mean 417 : -0.4739628 
boosting RMSE 417 : 0.1343117 

forest 417 : -0.4344692 
forest mean 417 : -0.3727094 
forest RMSE 417 : 0.05502425 

nnet 417 : -0.5938289 
nnet mean 417 : -0.4184636 
nnet RMSE 417 : 0.1518943 


s: 418 
logit 418 : -0.377242 
logit mean 418 : -0.4155114 
logit RMSE 418 : 0.05824515 

boosting 418 : -0.4520697 
boosting mean 418 : -0.4739104 
boosting RMSE 418 : 0.1341751 

forest 418 : -0.3728543 
forest mean 418 : -0.3727098 
forest RMSE 418 : 0.05497443 

nnet 418 : -0.4287867 
nnet mean 418 : -0.4184883 
nnet RMSE 418 : 0.1517190 


s: 419 
logit 419 : -0.4136502 
logit mean 419 : -0.415507 
logit RMSE 419 : 0.05817942 

boosting 419 : -0.6759401 
boosting mean 419 : -0.4743926 
boosting RMSE 419 : 0.1346912 

forest 419 : -0.354933 
forest mean 419 : -0.3726674 
forest RMSE 419 : 0.05495291 

nnet 419 : -0.3612095 
nnet mean 419 : -0.4183516 
nnet RMSE 419 : 0.1515497 


s: 420 
logit 420 : -0.4563304 
logit mean 420 : -0.4156042 
logit RMSE 420 : 0.05817509 

boosting 420 : -0.5729111 
boosting mean 420 : -0.4746271 
boosting RMSE 420 : 0.1347951 

forest 420 : -0.3670597 
forest mean 420 : -0.372654 
forest RMSE 420 : 0.05491098 

nnet 420 : -0.5798727 
nnet mean 420 : -0.4187362 
nnet RMSE 420 : 0.1516234 


s: 421 
logit 421 : -0.3601074 
logit mean 421 : -0.4154724 
logit RMSE 421 : 0.05813848 

boosting 421 : -0.4348932 
boosting mean 421 : -0.4745328 
boosting RMSE 421 : 0.1346456 

forest 421 : -0.3316060 
forest mean 421 : -0.3725565 
forest RMSE 421 : 0.05494693 

nnet 421 : -0.5011492 
nnet mean 421 : -0.418932 
nnet RMSE 421 : 0.1515235 


s: 422 
logit 422 : -0.4902014 
logit mean 422 : -0.4156494 
logit RMSE 422 : 0.05823532 

boosting 422 : -0.5296711 
boosting mean 422 : -0.4746634 
boosting RMSE 422 : 0.1346341 

forest 422 : -0.3622025 
forest mean 422 : -0.372532 
forest RMSE 422 : 0.05491262 

nnet 422 : -0.4760532 
nnet mean 422 : -0.4190673 
nnet RMSE 422 : 0.1513891 


s: 423 
logit 423 : -0.435433 
logit mean 423 : -0.4156962 
logit RMSE 423 : 0.05819196 

boosting 423 : -0.4210223 
boosting mean 423 : -0.4745366 
boosting RMSE 423 : 0.1344787 

forest 423 : -0.3490894 
forest mean 423 : -0.3724766 
forest RMSE 423 : 0.0549035 

nnet 423 : -0.4439337 
nnet mean 423 : -0.4191261 
nnet RMSE 423 : 0.1512251 


s: 424 
logit 424 : -0.4589026 
logit mean 424 : -0.4157981 
logit RMSE 424 : 0.05819364 

boosting 424 : -0.4837891 
boosting mean 424 : -0.4745584 
boosting RMSE 424 : 0.1343817 

forest 424 : -0.4704494 
forest mean 424 : -0.3727076 
forest RMSE 424 : 0.05494534 

nnet 424 : -0.4094334 
nnet mean 424 : -0.4191033 
nnet RMSE 424 : 0.1510474 


s: 425 
logit 425 : -0.4496191 
logit mean 425 : -0.4158777 
logit RMSE 425 : 0.05817495 

boosting 425 : -0.6091182 
boosting mean 425 : -0.474875 
boosting RMSE 425 : 0.1346062 

forest 425 : -0.3702687 
forest mean 425 : -0.3727019 
forest RMSE 425 : 0.05489961 

nnet 425 : -0.5761516 
nnet mean 425 : -0.4194728 
nnet RMSE 425 : 0.1511114 


s: 426 
logit 426 : -0.3100084 
logit mean 426 : -0.4156292 
logit RMSE 426 : 0.05826998 

boosting 426 : -0.4925163 
boosting mean 426 : -0.4749165 
boosting RMSE 426 : 0.1345228 

forest 426 : -0.3432979 
forest mean 426 : -0.3726329 
forest RMSE 426 : 0.05490391 

nnet 426 : -0.5719712 
nnet mean 426 : -0.4198308 
nnet RMSE 426 : 0.1511637 


s: 427 
logit 427 : -0.5124045 
logit mean 427 : -0.4158558 
logit RMSE 427 : 0.05845536 

boosting 427 : -0.290778 
boosting mean 427 : -0.4744852 
boosting RMSE 427 : 0.1344692 

forest 427 : -0.3573346 
forest mean 427 : -0.372597 
forest RMSE 427 : 0.05487844 

nnet 427 : -0.4730685 
nnet mean 427 : -0.4199554 
nnet RMSE 427 : 0.1510280 


s: 428 
logit 428 : -0.3568777 
logit mean 428 : -0.415718 
logit RMSE 428 : 0.05842422 

boosting 428 : -0.4359959 
boosting mean 428 : -0.4743953 
boosting RMSE 428 : 0.1343232 

forest 428 : -0.3477686 
forest mean 428 : -0.372539 
forest RMSE 428 : 0.0548724 

nnet 428 : -0.2226138 
nnet mean 428 : -0.4194944 
nnet RMSE 428 : 0.1510949 


s: 429 
logit 429 : -0.404691 
logit mean 429 : -0.4156923 
logit RMSE 429 : 0.05835653 

boosting 429 : -0.4155585 
boosting mean 429 : -0.4742581 
boosting RMSE 429 : 0.1341687 

forest 429 : -0.3741048 
forest mean 429 : -0.3725427 
forest RMSE 429 : 0.05482267 

nnet 429 : -0.5605198 
nnet mean 429 : -0.4198231 
nnet RMSE 429 : 0.1511176 


s: 430 
logit 430 : -0.3506130 
logit mean 430 : -0.4155410 
logit RMSE 430 : 0.05833727 

boosting 430 : -0.4284501 
boosting mean 430 : -0.4741516 
boosting RMSE 430 : 0.1340196 

forest 430 : -0.3797098 
forest mean 430 : -0.3725593 
forest RMSE 430 : 0.05476763 

nnet 430 : -0.3514582 
nnet mean 430 : -0.4196641 
nnet RMSE 430 : 0.1509599 


s: 431 
logit 431 : -0.4171979 
logit mean 431 : -0.4155448 
logit RMSE 431 : 0.05827544 

boosting 431 : -0.6143343 
boosting mean 431 : -0.4744769 
boosting RMSE 431 : 0.1342616 

forest 431 : -0.3425895 
forest mean 431 : -0.3724898 
forest RMSE 431 : 0.05477391 

nnet 431 : -0.7546819 
nnet mean 431 : -0.4204414 
nnet RMSE 431 : 0.1517495 


s: 432 
logit 432 : -0.3573679 
logit mean 432 : -0.4154101 
logit RMSE 432 : 0.05824408 

boosting 432 : -0.497119 
boosting mean 432 : -0.4745293 
boosting RMSE 432 : 0.1341875 

forest 432 : -0.3376196 
forest mean 432 : -0.3724091 
forest RMSE 432 : 0.05479273 

nnet 432 : -0.2699082 
nnet mean 432 : -0.4200929 
nnet RMSE 432 : 0.1517029 


s: 433 
logit 433 : -0.4175255 
logit mean 433 : -0.415415 
logit RMSE 433 : 0.05818288 

boosting 433 : -0.6831607 
boosting mean 433 : -0.4750111 
boosting RMSE 433 : 0.1347214 

forest 433 : -0.2858337 
forest mean 433 : -0.3722091 
forest RMSE 433 : 0.05500374 

nnet 433 : -0.2463336 
nnet mean 433 : -0.4196917 
nnet RMSE 433 : 0.1517075 


s: 434 
logit 434 : -0.5130709 
logit mean 434 : -0.41564 
logit RMSE 434 : 0.05836871 

boosting 434 : -0.5235875 
boosting mean 434 : -0.475123 
boosting RMSE 434 : 0.1346969 

forest 434 : -0.3633117 
forest mean 434 : -0.3721886 
forest RMSE 434 : 0.05496855 

nnet 434 : -0.3917452 
nnet mean 434 : -0.4196273 
nnet RMSE 434 : 0.1515331 


s: 435 
logit 435 : -0.4859642 
logit mean 435 : -0.4158017 
logit RMSE 435 : 0.05844709 

boosting 435 : -0.4249631 
boosting mean 435 : -0.4750077 
boosting RMSE 435 : 0.1345473 

forest 435 : -0.380614 
forest mean 435 : -0.372208 
forest RMSE 435 : 0.0549132 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 435 : -0.2318312 
nnet mean 435 : -0.4191955 
nnet RMSE 435 : 0.1515734 


s: 436 
logit 436 : -0.4022252 
logit mean 436 : -0.4157706 
logit RMSE 436 : 0.05838012 

boosting 436 : -0.469895 
boosting mean 436 : -0.474996 
boosting RMSE 436 : 0.1344346 

forest 436 : -0.2944277 
forest mean 436 : -0.3720296 
forest RMSE 436 : 0.05508273 

nnet 436 : -0.4575206 
nnet mean 436 : -0.4192834 
nnet RMSE 436 : 0.1514246 


s: 437 
logit 437 : -0.4274262 
logit mean 437 : -0.4157972 
logit RMSE 437 : 0.05832805 

boosting 437 : -0.4906531 
boosting mean 437 : -0.4750318 
boosting RMSE 437 : 0.1343507 

forest 437 : -0.4650962 
forest mean 437 : -0.3722426 
forest RMSE 437 : 0.05510772 

nnet 437 : -0.6744063 
nnet mean 437 : -0.4198673 
nnet RMSE 437 : 0.1518198 


s: 438 
logit 438 : -0.4088206 
logit mean 438 : -0.4157813 
logit RMSE 438 : 0.05826295 

boosting 438 : -0.569076 
boosting mean 438 : -0.4752465 
boosting RMSE 438 : 0.1344402 

forest 438 : -0.3179208 
forest mean 438 : -0.3721186 
forest RMSE 438 : 0.05518431 

nnet 438 : -0.4428801 
nnet mean 438 : -0.4199198 
nnet RMSE 438 : 0.1516602 


s: 439 
logit 439 : -0.4477405 
logit mean 439 : -0.4158541 
logit RMSE 439 : 0.05824114 

boosting 439 : -0.5050154 
boosting mean 439 : -0.4753143 
boosting RMSE 439 : 0.1343805 

forest 439 : -0.4367115 
forest mean 439 : -0.3722657 
forest RMSE 439 : 0.05514926 

nnet 439 : -0.5675077 
nnet mean 439 : -0.420256 
nnet RMSE 439 : 0.1516982 


s: 440 
logit 440 : -0.3601121 
logit mean 440 : -0.4157274 
logit RMSE 440 : 0.05820599 

boosting 440 : -0.5058296 
boosting mean 440 : -0.4753837 
boosting RMSE 440 : 0.1343224 

forest 440 : -0.3941996 
forest mean 440 : -0.3723156 
forest RMSE 440 : 0.05508725 

nnet 440 : -0.4550846 
nnet mean 440 : -0.4203351 
nnet RMSE 440 : 0.1515484 


s: 441 
logit 441 : -0.416886 
logit mean 441 : -0.41573 
logit RMSE 441 : 0.05814552 

boosting 441 : -0.5726996 
boosting mean 441 : -0.4756044 
boosting RMSE 441 : 0.1344219 

forest 441 : -0.3958164 
forest mean 441 : -0.3723688 
forest RMSE 441 : 0.05502512 

nnet 441 : -0.6660907 
nnet mean 441 : -0.4208924 
nnet RMSE 441 : 0.1519059 


s: 442 
logit 442 : -0.4292926 
logit mean 442 : -0.4157607 
logit RMSE 442 : 0.05809642 

boosting 442 : -0.4495478 
boosting mean 442 : -0.4755454 
boosting RMSE 442 : 0.1342904 

forest 442 : -0.3804142 
forest mean 442 : -0.3723870 
forest RMSE 442 : 0.05497074 

nnet 442 : -0.4236708 
nnet mean 442 : -0.4208987 
nnet RMSE 442 : 0.1517381 


s: 443 
logit 443 : -0.3277385 
logit mean 443 : -0.415562 
logit RMSE 443 : 0.05813228 

boosting 443 : -0.5203173 
boosting mean 443 : -0.4756465 
boosting RMSE 443 : 0.1342605 

forest 443 : -0.4098818 
forest mean 443 : -0.3724717 
forest RMSE 443 : 0.05491066 

nnet 443 : -0.2998366 
nnet mean 443 : -0.4206254 
nnet RMSE 443 : 0.1516415 


s: 444 
logit 444 : -0.438027 
logit mean 444 : -0.4156126 
logit RMSE 444 : 0.05809481 

boosting 444 : -0.4403779 
boosting mean 444 : -0.475567 
boosting RMSE 444 : 0.1341229 

forest 444 : -0.3858079 
forest mean 444 : -0.3725017 
forest RMSE 444 : 0.05485293 

nnet 444 : -0.4706439 
nnet mean 444 : -0.4207381 
nnet RMSE 444 : 0.1515077 


s: 445 
logit 445 : -0.3754039 
logit mean 445 : -0.4155223 
logit RMSE 445 : 0.05804122 

boosting 445 : -0.5027091 
boosting mean 445 : -0.475628 
boosting RMSE 445 : 0.1340606 

forest 445 : -0.4369254 
forest mean 445 : -0.3726465 
forest RMSE 445 : 0.05481921 

nnet 445 : -0.7215746 
nnet mean 445 : -0.4214141 
nnet RMSE 445 : 0.1521032 


s: 446 
logit 446 : -0.4849594 
logit mean 446 : -0.4156780 
logit RMSE 446 : 0.05811552 

boosting 446 : -0.204096 
boosting mean 446 : -0.4750192 
boosting RMSE 446 : 0.1342311 

forest 446 : -0.3222429 
forest mean 446 : -0.3725335 
forest RMSE 446 : 0.05488137 

nnet 446 : -0.3399421 
nnet mean 446 : -0.4212314 
nnet RMSE 446 : 0.1519592 


s: 447 
logit 447 : -0.4314443 
logit mean 447 : -0.4157132 
logit RMSE 447 : 0.05806952 

boosting 447 : -0.28842 
boosting mean 447 : -0.4746018 
boosting RMSE 447 : 0.1341847 

forest 447 : -0.4275625 
forest mean 447 : -0.3726566 
forest RMSE 447 : 0.05483544 

nnet 447 : -0.1742405 
nnet mean 447 : -0.4206789 
nnet RMSE 447 : 0.1521643 


s: 448 
logit 448 : -0.4940341 
logit mean 448 : -0.4158881 
logit RMSE 448 : 0.05817457 

boosting 448 : -0.3232220 
boosting mean 448 : -0.4742639 
boosting RMSE 448 : 0.1340839 

forest 448 : -0.3872877 
forest mean 448 : -0.3726892 
forest RMSE 448 : 0.0547775 

nnet 448 : -0.5519394 
nnet mean 448 : -0.4209719 
nnet RMSE 448 : 0.1521638 


s: 449 
logit 449 : -0.3770926 
logit mean 449 : -0.4158016 
logit RMSE 449 : 0.0581198 

boosting 449 : -0.5665529 
boosting mean 449 : -0.4744694 
boosting RMSE 449 : 0.1341650 

forest 449 : -0.3846543 
forest mean 449 : -0.3727159 
forest RMSE 449 : 0.05472126 

nnet 449 : -0.472996 
nnet mean 449 : -0.4210877 
nnet RMSE 449 : 0.1520333 


s: 450 
logit 450 : -0.414076 
logit mean 450 : -0.4157978 
logit RMSE 450 : 0.05805898 

boosting 450 : -0.7637202 
boosting mean 450 : -0.4751122 
boosting RMSE 450 : 0.1351082 

forest 450 : -0.4209678 
forest mean 450 : -0.3728231 
forest RMSE 450 : 0.05466936 

nnet 450 : -0.5808375 
nnet mean 450 : -0.4214427 
nnet RMSE 450 : 0.1521033 


s: 451 
logit 451 : -0.414221 
logit mean 451 : -0.4157943 
logit RMSE 451 : 0.05799845 

boosting 451 : -0.4630938 
boosting mean 451 : -0.4750855 
boosting RMSE 451 : 0.134991 

forest 451 : -0.3448347 
forest mean 451 : -0.3727611 
forest RMSE 451 : 0.05467047 

nnet 451 : -0.4004434 
nnet mean 451 : -0.4213962 
nnet RMSE 451 : 0.1519346 


s: 452 
logit 452 : -0.3654428 
logit mean 452 : -0.4156829 
logit RMSE 452 : 0.05795705 

boosting 452 : -0.4870376 
boosting mean 452 : -0.475112 
boosting RMSE 452 : 0.1349037 

forest 452 : -0.4285153 
forest mean 452 : -0.3728844 
forest RMSE 452 : 0.05462643 

nnet 452 : -0.5703461 
nnet mean 452 : -0.4217257 
nnet RMSE 452 : 0.1519778 


s: 453 
logit 453 : -0.5181628 
logit mean 453 : -0.4159091 
logit RMSE 453 : 0.05815863 

boosting 453 : -0.5622432 
boosting mean 453 : -0.4753043 
boosting RMSE 453 : 0.1349702 

forest 453 : -0.3922063 
forest mean 453 : -0.3729271 
forest RMSE 453 : 0.05456733 

nnet 453 : -0.5435334 
nnet mean 453 : -0.4219946 
nnet RMSE 453 : 0.1519597 


s: 454 
logit 454 : -0.2743728 
logit mean 454 : -0.4155974 
logit RMSE 454 : 0.05839297 

boosting 454 : -0.3545701 
boosting mean 454 : -0.4750384 
boosting RMSE 454 : 0.1348383 

forest 454 : -0.3773659 
forest mean 454 : -0.3729368 
forest RMSE 454 : 0.05451755 

nnet 454 : -0.3053474 
nnet mean 454 : -0.4217377 
nnet RMSE 454 : 0.1518572 


s: 455 
logit 455 : -0.4293774 
logit mean 455 : -0.4156277 
logit RMSE 455 : 0.05834502 

boosting 455 : -0.4539577 
boosting mean 455 : -0.4749921 
boosting RMSE 455 : 0.1347138 

forest 455 : -0.3511898 
forest mean 455 : -0.3728890 
forest RMSE 455 : 0.05450566 

nnet 455 : -0.3676446 
nnet mean 455 : -0.4216188 
nnet RMSE 455 : 0.1516978 


s: 456 
logit 456 : -0.3678034 
logit mean 456 : -0.4155228 
logit RMSE 456 : 0.05830051 

boosting 456 : -0.4611394 
boosting mean 456 : -0.4749617 
boosting RMSE 456 : 0.1345965 

forest 456 : -0.3231687 
forest mean 456 : -0.37278 
forest RMSE 456 : 0.05456462 

nnet 456 : -0.4564042 
nnet mean 456 : -0.4216951 
nnet RMSE 456 : 0.1515544 


s: 457 
logit 457 : -0.3730584 
logit mean 457 : -0.4154299 
logit RMSE 457 : 0.05825033 

boosting 457 : -0.4654396 
boosting mean 457 : -0.4749409 
boosting RMSE 457 : 0.1344840 

forest 457 : -0.3450632 
forest mean 457 : -0.3727194 
forest RMSE 457 : 0.05456543 

nnet 457 : -0.6362536 
nnet mean 457 : -0.4221646 
nnet RMSE 457 : 0.1517914 


s: 458 
logit 458 : -0.3795067 
logit mean 458 : -0.4153514 
logit RMSE 458 : 0.05819458 

boosting 458 : -0.4868139 
boosting mean 458 : -0.4749668 
boosting RMSE 458 : 0.1343983 

forest 458 : -0.3714868 
forest mean 458 : -0.3727167 
forest RMSE 458 : 0.05452211 

nnet 458 : -0.3770101 
nnet mean 458 : -0.422066 
nnet RMSE 458 : 0.1516294 


s: 459 
logit 459 : -0.4014579 
logit mean 459 : -0.4153212 
logit RMSE 459 : 0.05813119 

boosting 459 : -0.3328707 
boosting mean 459 : -0.4746572 
boosting RMSE 459 : 0.1342884 

forest 459 : -0.3943490 
forest mean 459 : -0.3727638 
forest RMSE 459 : 0.05446333 

nnet 459 : -0.2183354 
nnet mean 459 : -0.4216221 
nnet RMSE 459 : 0.1517013 


s: 460 
logit 460 : -0.390719 
logit mean 460 : -0.4152677 
logit RMSE 460 : 0.05806958 

boosting 460 : -0.5532621 
boosting mean 460 : -0.4748281 
boosting RMSE 460 : 0.1343325 

forest 460 : -0.344939 
forest mean 460 : -0.3727033 
forest RMSE 460 : 0.05446463 

nnet 460 : -0.4870173 
nnet mean 460 : -0.4217643 
nnet RMSE 460 : 0.1515906 


s: 461 
logit 461 : -0.4386157 
logit mean 461 : -0.4153183 
logit RMSE 461 : 0.05803444 

boosting 461 : -0.6604336 
boosting mean 461 : -0.4752307 
boosting RMSE 461 : 0.1347339 

forest 461 : -0.4451705 
forest mean 461 : -0.3728605 
forest RMSE 461 : 0.05444619 

nnet 461 : -0.5548619 
nnet mean 461 : -0.422053 
nnet RMSE 461 : 0.1515977 


s: 462 
logit 462 : -0.435364 
logit mean 462 : -0.4153617 
logit RMSE 462 : 0.05799494 

boosting 462 : -0.42616 
boosting mean 462 : -0.4751245 
boosting RMSE 462 : 0.1345935 

forest 462 : -0.3577323 
forest mean 462 : -0.3728278 
forest RMSE 462 : 0.05442277 

nnet 462 : -0.2833462 
nnet mean 462 : -0.4217528 
nnet RMSE 462 : 0.1515308 


s: 463 
logit 463 : -0.4925061 
logit mean 463 : -0.4155283 
logit RMSE 463 : 0.05809158 

boosting 463 : -0.4725263 
boosting mean 463 : -0.4751189 
boosting RMSE 463 : 0.1344903 

forest 463 : -0.4698785 
forest mean 463 : -0.3730374 
forest RMSE 463 : 0.05446088 

nnet 463 : -0.6923872 
nnet mean 463 : -0.4223373 
nnet RMSE 463 : 0.1519758 


s: 464 
logit 464 : -0.4743857 
logit mean 464 : -0.4156552 
logit RMSE 464 : 0.05813161 

boosting 464 : -0.3244417 
boosting mean 464 : -0.4747941 
boosting RMSE 464 : 0.1343911 

forest 464 : -0.3604839 
forest mean 464 : -0.3730103 
forest RMSE 464 : 0.05443308 

nnet 464 : -0.3729157 
nnet mean 464 : -0.4222308 
nnet RMSE 464 : 0.1518171 


s: 465 
logit 465 : -0.3278943 
logit mean 465 : -0.4154665 
logit RMSE 465 : 0.05816526 

boosting 465 : -0.5857139 
boosting mean 465 : -0.4750327 
boosting RMSE 465 : 0.1345225 

forest 465 : -0.3795181 
forest mean 465 : -0.3730243 
forest RMSE 465 : 0.05438282 

nnet 465 : -0.3875782 
nnet mean 465 : -0.4221563 
nnet RMSE 465 : 0.1516549 


s: 466 
logit 466 : -0.4351783 
logit mean 466 : -0.4155088 
logit RMSE 466 : 0.05812567 

boosting 466 : -0.4852824 
boosting mean 466 : -0.4750547 
boosting RMSE 466 : 0.1344361 

forest 466 : -0.4963859 
forest mean 466 : -0.373289 
forest RMSE 466 : 0.05450762 

nnet 466 : -0.5008173 
nnet mean 466 : -0.4223251 
nnet RMSE 466 : 0.1515641 


s: 467 
logit 467 : -0.4321793 
logit mean 467 : -0.4155445 
logit RMSE 467 : 0.05808249 

boosting 467 : -0.3233924 
boosting mean 467 : -0.4747299 
boosting RMSE 467 : 0.1343389 

forest 467 : -0.4244772 
forest mean 467 : -0.3733986 
forest RMSE 467 : 0.05446101 

nnet 467 : -0.4748734 
nnet mean 467 : -0.4224376 
nnet RMSE 467 : 0.1514413 


s: 468 
logit 468 : -0.4494158 
logit mean 468 : -0.4156168 
logit RMSE 468 : 0.05806535 

boosting 468 : -0.4871445 
boosting mean 468 : -0.4747564 
boosting RMSE 468 : 0.1342557 

forest 468 : -0.342107 
forest mean 468 : -0.3733318 
forest RMSE 468 : 0.05446857 

nnet 468 : -0.2804577 
nnet mean 468 : -0.4221342 
nnet RMSE 468 : 0.1513803 


s: 469 
logit 469 : -0.4525236 
logit mean 469 : -0.4156955 
logit RMSE 469 : 0.0580541 

boosting 469 : -0.4134252 
boosting mean 469 : -0.4746257 
boosting RMSE 469 : 0.1341139 

forest 469 : -0.4096537 
forest mean 469 : -0.3734092 
forest RMSE 469 : 0.0544123 

nnet 469 : -0.5047848 
nnet mean 469 : -0.4223104 
nnet RMSE 469 : 0.1512963 


s: 470 
logit 470 : -0.5056833 
logit mean 470 : -0.415887 
logit RMSE 470 : 0.05819683 

boosting 470 : -0.6211532 
boosting mean 470 : -0.4749374 
boosting RMSE 470 : 0.134359 

forest 470 : -0.3942085 
forest mean 470 : -0.3734535 
forest RMSE 470 : 0.05435504 

nnet 470 : -0.4827693 
nnet mean 470 : -0.4224391 
nnet RMSE 470 : 0.1511834 


s: 471 
logit 471 : -0.4044133 
logit mean 471 : -0.4158626 
logit RMSE 471 : 0.05813538 

boosting 471 : -0.3763477 
boosting mean 471 : -0.4747281 
boosting RMSE 471 : 0.1342207 

forest 471 : -0.2618527 
forest mean 471 : -0.3732165 
forest RMSE 471 : 0.05466916 

nnet 471 : -0.4247593 
nnet mean 471 : -0.422444 
nnet RMSE 471 : 0.1510272 


s: 472 
logit 472 : -0.4422893 
logit mean 472 : -0.4159186 
logit RMSE 472 : 0.05810637 

boosting 472 : -0.4043997 
boosting mean 472 : -0.4745791 
boosting RMSE 472 : 0.1340786 

forest 472 : -0.4377 
forest mean 472 : -0.3733532 
forest RMSE 472 : 0.05463878 

nnet 472 : -0.4789833 
nnet mean 472 : -0.4225638 
nnet RMSE 472 : 0.1509109 


s: 473 
logit 473 : -0.4012247 
logit mean 473 : -0.4158876 
logit RMSE 473 : 0.05804494 

boosting 473 : -0.5388717 
boosting mean 473 : -0.474715 
boosting RMSE 473 : 0.1340889 

forest 473 : -0.3506169 
forest mean 473 : -0.3733051 
forest RMSE 473 : 0.0546282 

nnet 473 : -0.2557202 
nnet mean 473 : -0.4222110 
nnet RMSE 473 : 0.1508972 


s: 474 
logit 474 : -0.3933196 
logit mean 474 : -0.4158399 
logit RMSE 474 : 0.05798449 

boosting 474 : -0.4108615 
boosting mean 474 : -0.4745803 
boosting RMSE 474 : 0.1339483 

forest 474 : -0.3616305 
forest mean 474 : -0.3732805 
forest RMSE 474 : 0.05459899 

nnet 474 : -0.3559456 
nnet mean 474 : -0.4220712 
nnet RMSE 474 : 0.1507515 


s: 475 
logit 475 : -0.418867 
logit mean 475 : -0.4158463 
logit RMSE 475 : 0.05792989 

boosting 475 : -0.732289 
boosting mean 475 : -0.4751229 
boosting RMSE 475 : 0.1346731 

forest 475 : -0.3908173 
forest mean 475 : -0.3733174 
forest RMSE 475 : 0.05454312 

nnet 475 : -0.5497311 
nnet mean 475 : -0.42234 
nnet RMSE 475 : 0.1507494 


s: 476 
logit 476 : -0.4008759 
logit mean 476 : -0.4158149 
logit RMSE 476 : 0.05786902 

boosting 476 : -0.4751607 
boosting mean 476 : -0.4751229 
boosting RMSE 476 : 0.1345756 

forest 476 : -0.3472532 
forest mean 476 : -0.3732626 
forest RMSE 476 : 0.05453941 

nnet 476 : -0.3432107 
nnet mean 476 : -0.4221738 
nnet RMSE 476 : 0.1506134 


s: 477 
logit 477 : -0.3851104 
logit mean 477 : -0.4157505 
logit RMSE 477 : 0.05781235 

boosting 477 : -0.60998 
boosting mean 477 : -0.4754057 
boosting RMSE 477 : 0.1347779 

forest 477 : -0.4130606 
forest mean 477 : -0.3733461 
forest RMSE 477 : 0.05448549 

nnet 477 : -0.443172 
nnet mean 477 : -0.4222178 
nnet RMSE 477 : 0.1504685 


s: 478 
logit 478 : -0.3190944 
logit mean 478 : -0.4155483 
logit RMSE 478 : 0.05787029 

boosting 478 : -0.5934682 
boosting mean 478 : -0.4756527 
boosting RMSE 478 : 0.1349273 

forest 478 : -0.3974957 
forest mean 478 : -0.3733966 
forest RMSE 478 : 0.05442859 

nnet 478 : -0.4225833 
nnet mean 478 : -0.4222186 
nnet RMSE 478 : 0.1503145 


s: 479 
logit 479 : -0.4897881 
logit mean 479 : -0.4157033 
logit RMSE 479 : 0.05795523 

boosting 479 : -0.4995638 
boosting mean 479 : -0.4757026 
boosting RMSE 479 : 0.1348631 

forest 479 : -0.4127901 
forest mean 479 : -0.3734788 
forest RMSE 479 : 0.05437488 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 479 : -0.3022792 
nnet mean 479 : -0.4219682 
nnet RMSE 479 : 0.1502239 


s: 480 
logit 480 : -0.3659489 
logit mean 480 : -0.4155996 
logit RMSE 480 : 0.05791569 

boosting 480 : -0.3954246 
boosting mean 480 : -0.4755353 
boosting RMSE 480 : 0.1347227 

forest 480 : -0.4267318 
forest mean 480 : -0.3735898 
forest RMSE 480 : 0.05433192 

nnet 480 : -0.2562021 
nnet mean 480 : -0.4216228 
nnet RMSE 480 : 0.1502108 


s: 481 
logit 481 : -0.325965 
logit mean 481 : -0.4154133 
logit RMSE 481 : 0.05795385 

boosting 481 : -0.5327927 
boosting mean 481 : -0.4756544 
boosting RMSE 481 : 0.1347188 

forest 481 : -0.389692 
forest mean 481 : -0.3736232 
forest RMSE 481 : 0.05427744 

nnet 481 : -0.3696794 
nnet mean 481 : -0.4215148 
nnet RMSE 481 : 0.1500609 


s: 482 
logit 482 : -0.4045784 
logit mean 482 : -0.4153908 
logit RMSE 482 : 0.05789408 

boosting 482 : -0.2849926 
boosting mean 482 : -0.4752588 
boosting RMSE 482 : 0.1346808 

forest 482 : -0.3856891 
forest mean 482 : -0.3736483 
forest RMSE 482 : 0.05422503 

nnet 482 : -0.5338608 
nnet mean 482 : -0.4217479 
nnet RMSE 482 : 0.1500291 


s: 483 
logit 483 : -0.4704137 
logit mean 483 : -0.4155047 
logit RMSE 483 : 0.0579228 

boosting 483 : -0.6241572 
boosting mean 483 : -0.4755671 
boosting RMSE 483 : 0.1349274 

forest 483 : -0.303337 
forest mean 483 : -0.3735027 
forest RMSE 483 : 0.05434714 

nnet 483 : -0.5528684 
nnet mean 483 : -0.4220194 
nnet RMSE 483 : 0.1500351 


s: 484 
logit 484 : -0.5602952 
logit mean 484 : -0.4158039 
logit RMSE 484 : 0.05831986 

boosting 484 : -0.7320512 
boosting mean 484 : -0.476097 
boosting RMSE 484 : 0.1356304 

forest 484 : -0.3605184 
forest mean 484 : -0.3734759 
forest RMSE 484 : 0.05432062 

nnet 484 : -0.6262296 
nnet mean 484 : -0.4224413 
nnet RMSE 484 : 0.1502324 


s: 485 
logit 485 : -0.3887494 
logit mean 485 : -0.4157481 
logit RMSE 485 : 0.05826195 

boosting 485 : -0.4080594 
boosting mean 485 : -0.4759567 
boosting RMSE 485 : 0.1354910 

forest 485 : -0.3059337 
forest mean 485 : -0.3733366 
forest RMSE 485 : 0.05443243 

nnet 485 : -0.3591309 
nnet mean 485 : -0.4223108 
nnet RMSE 485 : 0.1500889 


s: 486 
logit 486 : -0.489133 
logit mean 486 : -0.4158991 
logit RMSE 486 : 0.05834224 

boosting 486 : -0.5733037 
boosting mean 486 : -0.476157 
boosting RMSE 486 : 0.1355796 

forest 486 : -0.3644437 
forest mean 486 : -0.3733183 
forest RMSE 486 : 0.05440032 

nnet 486 : -0.2863851 
nnet mean 486 : -0.4220311 
nnet RMSE 486 : 0.1500229 


s: 487 
logit 487 : -0.3403799 
logit mean 487 : -0.415744 
logit RMSE 487 : 0.05834489 

boosting 487 : -0.4019501 
boosting mean 487 : -0.4760046 
boosting RMSE 487 : 0.1354404 

forest 487 : -0.3139322 
forest mean 487 : -0.3731964 
forest RMSE 487 : 0.0544842 

nnet 487 : -0.6514409 
nnet mean 487 : -0.4225021 
nnet RMSE 487 : 0.1503013 


s: 488 
logit 488 : -0.4564604 
logit mean 488 : -0.4158274 
logit RMSE 488 : 0.05834109 

boosting 488 : -0.6874116 
boosting mean 488 : -0.4764379 
boosting RMSE 488 : 0.1359256 

forest 488 : -0.3917369 
forest mean 488 : -0.3732344 
forest RMSE 488 : 0.05442964 

nnet 488 : -0.5392664 
nnet mean 488 : -0.4227414 
nnet RMSE 488 : 0.1502795 


s: 489 
logit 489 : -0.4154971 
logit mean 489 : -0.4158268 
logit RMSE 489 : 0.05828562 

boosting 489 : -0.3522891 
boosting mean 489 : -0.476184 
boosting RMSE 489 : 0.1358037 

forest 489 : -0.357734 
forest mean 489 : -0.3732027 
forest RMSE 489 : 0.05440754 

nnet 489 : -0.5411125 
nnet mean 489 : -0.4229835 
nnet RMSE 489 : 0.1502613 


s: 490 
logit 490 : -0.4916149 
logit mean 490 : -0.4159814 
logit RMSE 490 : 0.05837302 

boosting 490 : -0.4643947 
boosting mean 490 : -0.4761599 
boosting RMSE 490 : 0.1356962 

forest 490 : -0.3497585 
forest mean 490 : -0.3731548 
forest RMSE 490 : 0.05439936 

nnet 490 : -0.4381942 
nnet mean 490 : -0.4230145 
nnet RMSE 490 : 0.1501179 


s: 491 
logit 491 : -0.4683563 
logit mean 491 : -0.4160881 
logit RMSE 491 : 0.05839509 

boosting 491 : -0.4510401 
boosting mean 491 : -0.4761088 
boosting RMSE 491 : 0.1355776 

forest 491 : -0.3881194 
forest mean 491 : -0.3731853 
forest RMSE 491 : 0.05434658 

nnet 491 : -0.4414594 
nnet mean 491 : -0.4230521 
nnet RMSE 491 : 0.1499766 


s: 492 
logit 492 : -0.3619373 
logit mean 492 : -0.4159780 
logit RMSE 492 : 0.05836095 

boosting 492 : -0.4984672 
boosting mean 492 : -0.4761542 
boosting RMSE 492 : 0.1355124 

forest 492 : -0.3417474 
forest mean 492 : -0.3731214 
forest RMSE 492 : 0.0543548 

nnet 492 : -0.5664999 
nnet mean 492 : -0.4233437 
nnet RMSE 492 : 0.150012 


s: 493 
logit 493 : -0.4207749 
logit mean 493 : -0.4159878 
logit RMSE 493 : 0.05830924 

boosting 493 : -0.3296428 
boosting mean 493 : -0.475857 
boosting RMSE 493 : 0.135412 

forest 493 : -0.3352797 
forest mean 493 : -0.3730446 
forest RMSE 493 : 0.05437783 

nnet 493 : -0.241694 
nnet mean 493 : -0.4229752 
nnet RMSE 493 : 0.1500293 


s: 494 
logit 494 : -0.4041045 
logit mean 494 : -0.4159637 
logit RMSE 494 : 0.05825048 

boosting 494 : -0.5623033 
boosting mean 494 : -0.476032 
boosting RMSE 494 : 0.1354718 

forest 494 : -0.3281161 
forest mean 494 : -0.3729537 
forest RMSE 494 : 0.05441895 

nnet 494 : -0.6267039 
nnet mean 494 : -0.4233876 
nnet RMSE 494 : 0.1502240 


s: 495 
logit 495 : -0.3693941 
logit mean 495 : -0.4158696 
logit RMSE 495 : 0.05820787 

boosting 495 : -0.5887125 
boosting mean 495 : -0.4762596 
boosting RMSE 495 : 0.1356005 

forest 495 : -0.3865384 
forest mean 495 : -0.3729811 
forest RMSE 495 : 0.05436733 

nnet 495 : -0.9969427 
nnet mean 495 : -0.4245463 
nnet RMSE 495 : 0.1524518 


s: 496 
logit 496 : -0.420207 
logit mean 496 : -0.4158784 
logit RMSE 496 : 0.05815624 

boosting 496 : -0.5266344 
boosting mean 496 : -0.4763612 
boosting RMSE 496 : 0.1355830 

forest 496 : -0.390841 
forest mean 496 : -0.3730171 
forest RMSE 496 : 0.05431405 

nnet 496 : -0.2604678 
nnet mean 496 : -0.4242155 
nnet RMSE 496 : 0.1524269 


s: 497 
logit 497 : -0.4301516 
logit mean 497 : -0.4159071 
logit RMSE 497 : 0.05811345 

boosting 497 : -0.4638001 
boosting mean 497 : -0.4763359 
boosting RMSE 497 : 0.1354767 

forest 497 : -0.3811723 
forest mean 497 : -0.3730336 
forest RMSE 497 : 0.05426595 

nnet 497 : -0.5984469 
nnet mean 497 : -0.4245661 
nnet RMSE 497 : 0.1525334 


s: 498 
logit 498 : -0.4145881 
logit mean 498 : -0.4159045 
logit RMSE 498 : 0.05805875 

boosting 498 : -0.650193 
boosting mean 498 : -0.476685 
boosting RMSE 498 : 0.1358042 

forest 498 : -0.4045984 
forest mean 498 : -0.3730969 
forest RMSE 498 : 0.05421183 

nnet 498 : -0.7105195 
nnet mean 498 : -0.4251403 
nnet RMSE 498 : 0.1530142 


s: 499 
logit 499 : -0.414736 
logit mean 499 : -0.4159021 
logit RMSE 499 : 0.0580043 

boosting 499 : -0.4083851 
boosting mean 499 : -0.4765482 
boosting RMSE 499 : 0.1356686 

forest 499 : -0.3311212 
forest mean 499 : -0.3730128 
forest RMSE 499 : 0.05424519 

nnet 499 : -0.5986347 
nnet mean 499 : -0.4254879 
nnet RMSE 499 : 0.1531192 


s: 500 
logit 500 : -0.49493 
logit mean 500 : -0.4160602 
logit RMSE 500 : 0.05810157 

boosting 500 : -0.4454809 
boosting mean 500 : -0.476486 
boosting RMSE 500 : 0.1355481 

forest 500 : -0.3788737 
forest mean 500 : -0.3730245 
forest RMSE 500 : 0.05419915 

nnet 500 : -0.3875979 
nnet mean 500 : -0.4254122 
nnet RMSE 500 : 0.152967 


s: 501 
logit 501 : -0.3762972 
logit mean 501 : -0.4159808 
logit RMSE 501 : 0.05805322 

boosting 501 : -0.4631528 
boosting mean 501 : -0.4764594 
boosting RMSE 501 : 0.1354422 

forest 501 : -0.3670756 
forest mean 501 : -0.3730127 
forest RMSE 501 : 0.05416501 

nnet 501 : -0.5850514 
nnet mean 501 : -0.4257308 
nnet RMSE 501 : 0.1530377 


s: 502 
logit 502 : -0.5032129 
logit mean 502 : -0.4161546 
logit RMSE 502 : 0.05817803 

boosting 502 : -0.2958599 
boosting mean 502 : -0.4760997 
boosting RMSE 502 : 0.1353870 

forest 502 : -0.4151171 
forest mean 502 : -0.3730965 
forest RMSE 502 : 0.05411524 

nnet 502 : -0.3895215 
nnet mean 502 : -0.4256587 
nnet RMSE 502 : 0.1528860 


s: 503 
logit 503 : -0.3368342 
logit mean 503 : -0.4159969 
logit RMSE 503 : 0.05818837 

boosting 503 : -0.4341152 
boosting mean 503 : -0.4760162 
boosting RMSE 503 : 0.1352609 

forest 503 : -0.2920953 
forest mean 503 : -0.3729355 
forest RMSE 503 : 0.05427509 

nnet 503 : -0.5096253 
nnet mean 503 : -0.4258256 
nnet RMSE 503 : 0.1528121 


s: 504 
logit 504 : -0.4747462 
logit mean 504 : -0.4161134 
logit RMSE 504 : 0.05822589 

boosting 504 : -0.458411 
boosting mean 504 : -0.4759813 
boosting RMSE 504 : 0.1351517 

forest 504 : -0.4370373 
forest mean 504 : -0.3730627 
forest RMSE 504 : 0.05424631 

nnet 504 : -0.3454515 
nnet mean 504 : -0.4256661 
nnet RMSE 504 : 0.1526798 


s: 505 
logit 505 : -0.4845701 
logit mean 505 : -0.416249 
logit RMSE 505 : 0.05828982 

boosting 505 : -0.4819334 
boosting mean 505 : -0.4759931 
boosting RMSE 505 : 0.1350671 

forest 505 : -0.3371489 
forest mean 505 : -0.3729916 
forest RMSE 505 : 0.0542647 

nnet 505 : -0.499493 
nnet mean 505 : -0.4258123 
nnet RMSE 505 : 0.1525928 


s: 506 
logit 506 : -0.3944602 
logit mean 506 : -0.4162059 
logit RMSE 506 : 0.05823272 

boosting 506 : -0.5649752 
boosting mean 506 : -0.4761689 
boosting RMSE 506 : 0.1351327 

forest 506 : -0.4042699 
forest mean 506 : -0.3730534 
forest RMSE 506 : 0.05421138 

nnet 506 : -0.08665974 
nnet mean 506 : -0.4251421 
nnet RMSE 506 : 0.153077 


s: 507 
logit 507 : -0.3962818 
logit mean 507 : -0.4161666 
logit RMSE 507 : 0.05817549 

boosting 507 : -0.5306812 
boosting mean 507 : -0.4762764 
boosting RMSE 507 : 0.1351241 

forest 507 : -0.3247887 
forest mean 507 : -0.3729582 
forest RMSE 507 : 0.0542608 

nnet 507 : -0.7989161 
nnet mean 507 : -0.4258793 
nnet RMSE 507 : 0.1539488 


s: 508 
logit 508 : -0.3461126 
logit mean 508 : -0.4160287 
logit RMSE 508 : 0.05816736 

boosting 508 : -0.5020152 
boosting mean 508 : -0.4763271 
boosting RMSE 508 : 0.1350668 

forest 508 : -0.3334996 
forest mean 508 : -0.3728805 
forest RMSE 508 : 0.05428761 

nnet 508 : -0.1342661 
nnet mean 508 : -0.4253053 
nnet RMSE 508 : 0.1542484 


s: 509 
logit 509 : -0.3826562 
logit mean 509 : -0.4159632 
logit RMSE 509 : 0.05811528 

boosting 509 : -0.3965995 
boosting mean 509 : -0.4761705 
boosting RMSE 509 : 0.1349342 

forest 509 : -0.3771995 
forest mean 509 : -0.372889 
forest RMSE 509 : 0.05424367 

nnet 509 : -0.4324204 
nnet mean 509 : -0.4253192 
nnet RMSE 509 : 0.1541035 


s: 510 
logit 510 : -0.4447706 
logit mean 510 : -0.4160197 
logit RMSE 510 : 0.05809211 

boosting 510 : -0.490592 
boosting mean 510 : -0.4761987 
boosting RMSE 510 : 0.1348615 

forest 510 : -0.4037197 
forest mean 510 : -0.3729495 
forest RMSE 510 : 0.05419071 

nnet 510 : -0.2237804 
nnet mean 510 : -0.4249241 
nnet RMSE 510 : 0.15415 


s: 511 
logit 511 : -0.3879651 
logit mean 511 : -0.4159648 
logit RMSE 511 : 0.05803769 

boosting 511 : -0.4663617 
boosting mean 511 : -0.4761795 
boosting RMSE 511 : 0.1347615 

forest 511 : -0.2942472 
forest mean 511 : -0.3727954 
forest RMSE 511 : 0.05433942 

nnet 511 : -0.3771882 
nnet mean 511 : -0.4248306 
nnet RMSE 511 : 0.1540024 


s: 512 
logit 512 : -0.3888801 
logit mean 512 : -0.4159119 
logit RMSE 512 : 0.05798306 

boosting 512 : -0.4337278 
boosting mean 512 : -0.4760966 
boosting RMSE 512 : 0.1346381 

forest 512 : -0.2875669 
forest mean 512 : -0.372629 
forest RMSE 512 : 0.05451326 

nnet 512 : -0.5382777 
nnet mean 512 : -0.4250522 
nnet RMSE 512 : 0.1539732 


s: 513 
logit 513 : -0.4636484 
logit mean 513 : -0.4160049 
logit RMSE 513 : 0.05799465 

boosting 513 : -0.4526307 
boosting mean 513 : -0.4760508 
boosting RMSE 513 : 0.1345268 

forest 513 : -0.2698349 
forest mean 513 : -0.3724286 
forest RMSE 513 : 0.05476248 

nnet 513 : -0.4710201 
nnet mean 513 : -0.4251418 
nnet RMSE 513 : 0.1538551 


s: 514 
logit 514 : -0.3254953 
logit mean 514 : -0.4158288 
logit RMSE 514 : 0.05803133 

boosting 514 : -0.4462064 
boosting mean 514 : -0.4759928 
boosting RMSE 514 : 0.1344114 

forest 514 : -0.4417552 
forest mean 514 : -0.3725635 
forest RMSE 514 : 0.05474018 

nnet 514 : -0.2026331 
nnet mean 514 : -0.4247089 
nnet RMSE 514 : 0.1539517 


s: 515 
logit 515 : -0.3754487 
logit mean 515 : -0.4157504 
logit RMSE 515 : 0.05798505 

boosting 515 : -0.4123205 
boosting mean 515 : -0.4758691 
boosting RMSE 515 : 0.1342819 

forest 515 : -0.3307343 
forest mean 515 : -0.3724823 
forest RMSE 515 : 0.05477212 

nnet 515 : -0.2628348 
nnet mean 515 : -0.4243946 
nnet RMSE 515 : 0.1539208 


s: 516 
logit 516 : -0.2982538 
logit mean 516 : -0.4155227 
logit RMSE 516 : 0.05810175 

boosting 516 : -0.4463835 
boosting mean 516 : -0.475812 
boosting RMSE 516 : 0.1341673 

forest 516 : -0.3663305 
forest mean 516 : -0.3724703 
forest RMSE 516 : 0.05473909 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 516 : -0.2538271 
nnet mean 516 : -0.4240641 
nnet RMSE 516 : 0.1539062 


s: 517 
logit 517 : -0.3721373 
logit mean 517 : -0.4154388 
logit RMSE 517 : 0.05805846 

boosting 517 : -0.6620303 
boosting mean 517 : -0.4761722 
boosting RMSE 517 : 0.1345319 

forest 517 : -0.3453052 
forest mean 517 : -0.3724178 
forest RMSE 517 : 0.054739 

nnet 517 : -0.3724053 
nnet mean 517 : -0.4239641 
nnet RMSE 517 : 0.1537621 


s: 518 
logit 518 : -0.385859 
logit mean 518 : -0.4153817 
logit RMSE 518 : 0.05800572 

boosting 518 : -0.6850403 
boosting mean 518 : -0.4765754 
boosting RMSE 518 : 0.1349842 

forest 518 : -0.3881029 
forest mean 518 : -0.3724481 
forest RMSE 518 : 0.05468864 

nnet 518 : -0.3966943 
nnet mean 518 : -0.4239115 
nnet RMSE 518 : 0.1536136 


s: 519 
logit 519 : -0.4148605 
logit mean 519 : -0.4153807 
logit RMSE 519 : 0.05795348 

boosting 519 : -0.3939945 
boosting mean 519 : -0.4764163 
boosting RMSE 519 : 0.1348544 

forest 519 : -0.3627421 
forest mean 519 : -0.3724294 
forest RMSE 519 : 0.0546604 

nnet 519 : -0.09372878 
nnet mean 519 : -0.4232753 
nnet RMSE 519 : 0.1540533 


s: 520 
logit 520 : -0.3897018 
logit mean 520 : -0.4153313 
logit RMSE 520 : 0.05789949 

boosting 520 : -0.4852018 
boosting mean 520 : -0.4764332 
boosting RMSE 520 : 0.1347765 

forest 520 : -0.443907 
forest mean 520 : -0.3725668 
forest RMSE 520 : 0.05464175 

nnet 520 : -0.2943777 
nnet mean 520 : -0.4230274 
nnet RMSE 520 : 0.1539748 


s: 521 
logit 521 : -0.4422802 
logit mean 521 : -0.415383 
logit RMSE 521 : 0.05787355 

boosting 521 : -0.4344181 
boosting mean 521 : -0.4763525 
boosting RMSE 521 : 0.1346555 

forest 521 : -0.3760971 
forest mean 521 : -0.3725736 
forest RMSE 521 : 0.05459933 

nnet 521 : -0.4098493 
nnet mean 521 : -0.4230021 
nnet RMSE 521 : 0.1538276 


s: 522 
logit 522 : -0.3781574 
logit mean 522 : -0.4153117 
logit RMSE 522 : 0.05782599 

boosting 522 : -0.5878615 
boosting mean 522 : -0.4765662 
boosting RMSE 522 : 0.1347775 

forest 522 : -0.428303 
forest mean 522 : -0.3726804 
forest RMSE 522 : 0.05456107 

nnet 522 : -0.4977623 
nnet mean 522 : -0.4231453 
nnet RMSE 522 : 0.1537397 


s: 523 
logit 523 : -0.3692014 
logit mean 523 : -0.4152235 
logit RMSE 523 : 0.05778638 

boosting 523 : -0.3779173 
boosting mean 523 : -0.4763775 
boosting RMSE 523 : 0.1346521 

forest 523 : -0.3218090 
forest mean 523 : -0.3725831 
forest RMSE 523 : 0.05461601 

nnet 523 : -0.2796315 
nnet mean 523 : -0.4228709 
nnet RMSE 523 : 0.1536828 


s: 524 
logit 524 : -0.4593798 
logit mean 524 : -0.4153078 
logit RMSE 524 : 0.05778946 

boosting 524 : -0.4934203 
boosting mean 524 : -0.4764101 
boosting RMSE 524 : 0.1345854 

forest 524 : -0.3086627 
forest mean 524 : -0.3724611 
forest RMSE 524 : 0.05470957 

nnet 524 : -0.5545128 
nnet mean 524 : -0.4231222 
nnet RMSE 524 : 0.1536844 


s: 525 
logit 525 : -0.4785614 
logit mean 525 : -0.4154283 
logit RMSE 525 : 0.05783612 

boosting 525 : -0.4318787 
boosting mean 525 : -0.4763252 
boosting RMSE 525 : 0.1344644 

forest 525 : -0.3703375 
forest mean 525 : -0.3724571 
forest RMSE 525 : 0.05467277 

nnet 525 : -0.2503406 
nnet mean 525 : -0.4227931 
nnet RMSE 525 : 0.1536768 


s: 526 
logit 526 : -0.3158056 
logit mean 526 : -0.4152389 
logit RMSE 526 : 0.05789762 

boosting 526 : -0.4982961 
boosting mean 526 : -0.476367 
boosting RMSE 526 : 0.1344048 

forest 526 : -0.4569315 
forest mean 526 : -0.3726177 
forest RMSE 526 : 0.05467715 

nnet 526 : -0.4389041 
nnet mean 526 : -0.4228237 
nnet RMSE 526 : 0.1535400 


s: 527 
logit 527 : -0.3620275 
logit mean 527 : -0.4151379 
logit RMSE 527 : 0.0578663 

boosting 527 : -0.5457459 
boosting mean 527 : -0.4764987 
boosting RMSE 527 : 0.1344273 

forest 527 : -0.3062074 
forest mean 527 : -0.3724916 
forest RMSE 527 : 0.05477783 

nnet 527 : -0.3850572 
nnet mean 527 : -0.422752 
nnet RMSE 527 : 0.1533957 


s: 528 
logit 528 : -0.3803166 
logit mean 528 : -0.415072 
logit RMSE 528 : 0.05781783 

boosting 528 : -0.4559899 
boosting mean 528 : -0.4764598 
boosting RMSE 528 : 0.1343220 

forest 528 : -0.3088021 
forest mean 528 : -0.372371 
forest RMSE 528 : 0.05486966 

nnet 528 : -0.2037384 
nnet mean 528 : -0.4223372 
nnet RMSE 528 : 0.1534882 


s: 529 
logit 529 : -0.4856003 
logit mean 529 : -0.4152053 
logit RMSE 529 : 0.05788293 

boosting 529 : -0.3991171 
boosting mean 529 : -0.4763136 
boosting RMSE 529 : 0.134195 

forest 529 : -0.4898144 
forest mean 529 : -0.372593 
forest RMSE 529 : 0.05495668 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 529 : -0.2203199 
nnet mean 529 : -0.4219553 
nnet RMSE 529 : 0.1535419 


s: 530 
logit 530 : -0.3685436 
logit mean 530 : -0.4151173 
logit RMSE 530 : 0.05784444 

boosting 530 : -0.4520897 
boosting mean 530 : -0.4762679 
boosting RMSE 530 : 0.1340874 

forest 530 : -0.3587905 
forest mean 530 : -0.372567 
forest RMSE 530 : 0.05493398 

nnet 530 : -0.3997284 
nnet mean 530 : -0.4219134 
nnet RMSE 530 : 0.153397 


s: 531 
logit 531 : -0.4203729 
logit mean 531 : -0.4151272 
logit RMSE 531 : 0.0577967 

boosting 531 : -0.5357459 
boosting mean 531 : -0.4763799 
boosting RMSE 531 : 0.1340906 

forest 531 : -0.4411681 
forest mean 531 : -0.3726962 
forest RMSE 531 : 0.0549113 

nnet 531 : -0.5285722 
nnet mean 531 : -0.4221143 
nnet RMSE 531 : 0.1533540 


s: 532 
logit 532 : -0.4185532 
logit mean 532 : -0.4151336 
logit RMSE 532 : 0.05774796 

boosting 532 : -0.5333719 
boosting mean 532 : -0.476487 
boosting RMSE 532 : 0.1340892 

forest 532 : -0.3467395 
forest mean 532 : -0.3726474 
forest RMSE 532 : 0.05490825 

nnet 532 : -0.3551481 
nnet mean 532 : -0.4219884 
nnet RMSE 532 : 0.1532222 


s: 533 
logit 533 : -0.3778436 
logit mean 533 : -0.4150636 
logit RMSE 533 : 0.05770174 

boosting 533 : -0.4571416 
boosting mean 533 : -0.4764507 
boosting RMSE 533 : 0.1339862 

forest 533 : -0.3826519 
forest mean 533 : -0.3726662 
forest RMSE 533 : 0.05486186 

nnet 533 : -0.541404 
nnet mean 533 : -0.4222124 
nnet RMSE 533 : 0.1532008 


s: 534 
logit 534 : -0.4544676 
logit mean 534 : -0.4151374 
logit RMSE 534 : 0.05769586 

boosting 534 : -0.4679198 
boosting mean 534 : -0.4764348 
boosting RMSE 534 : 0.133893 

forest 534 : -0.331573 
forest mean 534 : -0.3725892 
forest RMSE 534 : 0.0548904 

nnet 534 : -0.5570987 
nnet mean 534 : -0.422465 
nnet RMSE 534 : 0.1532082 


s: 535 
logit 535 : -0.4049915 
logit mean 535 : -0.4151185 
logit RMSE 535 : 0.05764231 

boosting 535 : -0.3538124 
boosting mean 535 : -0.4762056 
boosting RMSE 535 : 0.1337827 

forest 535 : -0.3987861 
forest mean 535 : -0.3726382 
forest RMSE 535 : 0.0548391 

nnet 535 : -0.4992611 
nnet mean 535 : -0.4226086 
nnet RMSE 535 : 0.1531251 


s: 536 
logit 536 : -0.4672752 
logit mean 536 : -0.4152158 
logit RMSE 536 : 0.05766179 

boosting 536 : -0.5795617 
boosting mean 536 : -0.4763984 
boosting RMSE 536 : 0.1338827 

forest 536 : -0.3814134 
forest mean 536 : -0.3726545 
forest RMSE 536 : 0.0547938 

nnet 536 : -0.2935289 
nnet mean 536 : -0.4223678 
nnet RMSE 536 : 0.1530513 


s: 537 
logit 537 : -0.4398167 
logit mean 537 : -0.4152616 
logit RMSE 537 : 0.05763369 

boosting 537 : -0.4070432 
boosting mean 537 : -0.4762692 
boosting RMSE 537 : 0.1337583 

forest 537 : -0.2987159 
forest mean 537 : -0.3725169 
forest RMSE 537 : 0.05491696 

nnet 537 : -0.1718776 
nnet mean 537 : -0.4219013 
nnet RMSE 537 : 0.1532253 


s: 538 
logit 538 : -0.4412185 
logit mean 538 : -0.4153098 
logit RMSE 538 : 0.05760752 

boosting 538 : -0.3402351 
boosting mean 538 : -0.4760164 
boosting RMSE 538 : 0.1336588 

forest 538 : -0.3321976 
forest mean 538 : -0.3724419 
forest RMSE 538 : 0.05494372 

nnet 538 : -0.3679619 
nnet mean 538 : -0.421801 
nnet RMSE 538 : 0.1530891 


s: 539 
logit 539 : -0.4291467 
logit mean 539 : -0.4153355 
logit RMSE 539 : 0.05756774 

boosting 539 : -0.4642457 
boosting mean 539 : -0.4759946 
boosting RMSE 539 : 0.1335634 

forest 539 : -0.296381 
forest mean 539 : -0.3723008 
forest RMSE 539 : 0.05507387 

nnet 539 : -0.332101 
nnet mean 539 : -0.4216346 
nnet RMSE 539 : 0.1529750 


s: 540 
logit 540 : -0.3816038 
logit mean 540 : -0.415273 
logit RMSE 540 : 0.05751986 

boosting 540 : -0.4965614 
boosting mean 540 : -0.4760326 
boosting RMSE 540 : 0.1335044 

forest 540 : -0.3850316 
forest mean 540 : -0.3723244 
forest RMSE 540 : 0.05502662 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 540 : -0.2438010 
nnet mean 540 : -0.4213053 
nnet RMSE 540 : 0.152981 


s: 541 
logit 541 : -0.4381478 
logit mean 541 : -0.4153153 
logit RMSE 541 : 0.05749008 

boosting 541 : -0.3551014 
boosting mean 541 : -0.4758091 
boosting RMSE 541 : 0.1333949 

forest 541 : -0.3244237 
forest mean 541 : -0.3722358 
forest RMSE 541 : 0.05507168 

nnet 541 : -0.298386 
nnet mean 541 : -0.4210781 
nnet RMSE 541 : 0.1529020 


s: 542 
logit 542 : -0.384615 
logit mean 542 : -0.4152587 
logit RMSE 542 : 0.05744082 

boosting 542 : -0.3184194 
boosting mean 542 : -0.4755187 
boosting RMSE 542 : 0.1333178 

forest 542 : -0.3263883 
forest mean 542 : -0.3721512 
forest RMSE 542 : 0.05511163 

nnet 542 : -0.2259255 
nnet mean 542 : -0.420718 
nnet RMSE 542 : 0.1529437 


s: 543 
logit 543 : -0.4416334 
logit mean 543 : -0.4153072 
logit RMSE 543 : 0.05741571 

boosting 543 : -0.5219439 
boosting mean 543 : -0.4756042 
boosting RMSE 543 : 0.1332978 

forest 543 : -0.3614755 
forest mean 543 : -0.3721316 
forest RMSE 543 : 0.05508568 

nnet 543 : -0.4738609 
nnet mean 543 : -0.4208159 
nnet RMSE 543 : 0.1528357 


s: 544 
logit 544 : -0.3855826 
logit mean 544 : -0.4152526 
logit RMSE 544 : 0.05736624 

boosting 544 : -0.5441265 
boosting mean 544 : -0.4757302 
boosting RMSE 544 : 0.1333185 

forest 544 : -0.3173992 
forest mean 544 : -0.372031 
forest RMSE 544 : 0.05514885 

nnet 544 : -0.2621039 
nnet mean 544 : -0.4205241 
nnet RMSE 544 : 0.1528096 


s: 545 
logit 545 : -0.4163738 
logit mean 545 : -0.4152547 
logit RMSE 545 : 0.05731788 

boosting 545 : -0.4360204 
boosting mean 545 : -0.4756573 
boosting RMSE 545 : 0.1332051 

forest 545 : -0.3039990 
forest mean 545 : -0.3719061 
forest RMSE 545 : 0.05525148 

nnet 545 : -0.4365257 
nnet mean 545 : -0.4205535 
nnet RMSE 545 : 0.1526773 


s: 546 
logit 546 : -0.3726614 
logit mean 546 : -0.4151767 
logit RMSE 546 : 0.05727732 

boosting 546 : -0.4301948 
boosting mean 546 : -0.4755740 
boosting RMSE 546 : 0.1330893 

forest 546 : -0.3661766 
forest mean 546 : -0.3718956 
forest RMSE 546 : 0.05521983 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 546 : -0.2352437 
nnet mean 546 : -0.4202141 
nnet RMSE 546 : 0.1527003 


s: 547 
logit 547 : -0.4443485 
logit mean 547 : -0.41523 
logit RMSE 547 : 0.05725635 

boosting 547 : -0.480156 
boosting mean 547 : -0.4755824 
boosting RMSE 547 : 0.1330118 

forest 547 : -0.3640337 
forest mean 547 : -0.3718813 
forest RMSE 547 : 0.05519076 

nnet 547 : -0.4123765 
nnet mean 547 : -0.4201998 
nnet RMSE 547 : 0.1525616 


s: 548 
logit 548 : -0.439519 
logit mean 548 : -0.4152743 
logit RMSE 548 : 0.05722899 

boosting 548 : -0.4248169 
boosting mean 548 : -0.4754898 
boosting RMSE 548 : 0.1328946 

forest 548 : -0.3933749 
forest mean 548 : -0.3719205 
forest RMSE 548 : 0.05514111 

nnet 548 : -0.1014282 
nnet mean 548 : -0.4196181 
nnet RMSE 548 : 0.1529550 


s: 549 
logit 549 : -0.3711071 
logit mean 549 : -0.4151939 
logit RMSE 549 : 0.05719014 

boosting 549 : -0.4551783 
boosting mean 549 : -0.4754528 
boosting RMSE 549 : 0.1327944 

forest 549 : -0.4049271 
forest mean 549 : -0.3719806 
forest RMSE 549 : 0.05509127 

nnet 549 : -0.4414762 
nnet mean 549 : -0.4196579 
nnet RMSE 549 : 0.1528259 


s: 550 
logit 550 : -0.3398424 
logit mean 550 : -0.4150569 
logit RMSE 550 : 0.05719567 

boosting 550 : -0.5642903 
boosting mean 550 : -0.4756143 
boosting RMSE 550 : 0.1328584 

forest 550 : -0.3495969 
forest mean 550 : -0.3719399 
forest RMSE 550 : 0.05508311 

nnet 550 : -0.3646681 
nnet mean 550 : -0.4195579 
nnet RMSE 550 : 0.1526944 


s: 551 
logit 551 : -0.3420486 
logit mean 551 : -0.4149244 
logit RMSE 551 : 0.05719705 

boosting 551 : -0.471813 
boosting mean 551 : -0.4756074 
boosting RMSE 551 : 0.1327730 

forest 551 : -0.3449757 
forest mean 551 : -0.371891 
forest RMSE 551 : 0.055083 

nnet 551 : -0.158459 
nnet mean 551 : -0.4190840 
nnet RMSE 551 : 0.1529024 


s: 552 
logit 552 : -0.3912071 
logit mean 552 : -0.4148814 
logit RMSE 552 : 0.05714645 

boosting 552 : -0.5728418 
boosting mean 552 : -0.4757836 
boosting RMSE 552 : 0.1328566 

forest 552 : -0.3826388 
forest mean 552 : -0.3719105 
forest RMSE 552 : 0.05503804 

nnet 552 : -0.2838842 
nnet mean 552 : -0.4188391 
nnet RMSE 552 : 0.1528437 


s: 553 
logit 553 : -0.5282859 
logit mean 553 : -0.4150865 
logit RMSE 553 : 0.05735478 

boosting 553 : -0.5540152 
boosting mean 553 : -0.475925 
boosting RMSE 553 : 0.1328979 

forest 553 : -0.4063549 
forest mean 553 : -0.3719727 
forest RMSE 553 : 0.05498892 

nnet 553 : -0.4386142 
nnet mean 553 : -0.4188749 
nnet RMSE 553 : 0.1527143 


s: 554 
logit 554 : -0.3715875 
logit mean 554 : -0.4150079 
logit RMSE 554 : 0.0573157 

boosting 554 : -0.4815721 
boosting mean 554 : -0.4759352 
boosting RMSE 554 : 0.1328231 

forest 554 : -0.4999294 
forest mean 554 : -0.3722037 
forest RMSE 554 : 0.05510307 

nnet 554 : -0.3039839 
nnet mean 554 : -0.4186675 
nnet RMSE 554 : 0.1526309 


s: 555 
logit 555 : -0.4033031 
logit mean 555 : -0.4149868 
logit RMSE 555 : 0.05726422 

boosting 555 : -0.4784109 
boosting mean 555 : -0.4759397 
boosting RMSE 555 : 0.1327451 

forest 555 : -0.346662 
forest mean 555 : -0.3721577 
forest RMSE 555 : 0.05509994 

nnet 555 : -0.1449867 
nnet mean 555 : -0.4181744 
nnet RMSE 555 : 0.1528771 


s: 556 
logit 556 : -0.3584631 
logit mean 556 : -0.4148852 
logit RMSE 556 : 0.05723981 

boosting 556 : -0.467326 
boosting mean 556 : -0.4759242 
boosting RMSE 556 : 0.1326564 

forest 556 : -0.3242586 
forest mean 556 : -0.3720715 
forest RMSE 556 : 0.055144 

nnet 556 : -0.6386423 
nnet mean 556 : -0.4185709 
nnet RMSE 556 : 0.1530745 


s: 557 
logit 557 : -0.4227416 
logit mean 557 : -0.4148993 
logit RMSE 557 : 0.05719652 

boosting 557 : -0.4282283 
boosting mean 557 : -0.4758386 
boosting RMSE 557 : 0.1325427 

forest 557 : -0.3389366 
forest mean 557 : -0.3720120 
forest RMSE 557 : 0.0551552 

nnet 557 : -0.3401016 
nnet mean 557 : -0.41843 
nnet RMSE 557 : 0.1529581 


s: 558 
logit 558 : -0.4795182 
logit mean 558 : -0.4150151 
logit RMSE 558 : 0.05724431 

boosting 558 : -0.3828181 
boosting mean 558 : -0.4756719 
boosting RMSE 558 : 0.1324258 

forest 558 : -0.3677202 
forest mean 558 : -0.3720044 
forest RMSE 558 : 0.0551227 

nnet 558 : -0.4425924 
nnet mean 558 : -0.4184733 
nnet RMSE 558 : 0.1528316 


s: 559 
logit 559 : -0.361427 
logit mean 559 : -0.4149192 
logit RMSE 559 : 0.05721635 

boosting 559 : -0.5833144 
boosting mean 559 : -0.4758644 
boosting RMSE 559 : 0.1325343 

forest 559 : -0.3299808 
forest mean 559 : -0.3719292 
forest RMSE 559 : 0.05515294 

nnet 559 : -0.4181651 
nnet mean 559 : -0.4184728 
nnet RMSE 559 : 0.1526968 


s: 560 
logit 560 : -0.3886644 
logit mean 560 : -0.4148723 
logit RMSE 560 : 0.05716725 

boosting 560 : -0.5766999 
boosting mean 560 : -0.4760445 
boosting RMSE 560 : 0.1326263 

forest 560 : -0.3998714 
forest mean 560 : -0.3719791 
forest RMSE 560 : 0.05510367 

nnet 560 : -0.3977409 
nnet mean 560 : -0.4184358 
nnet RMSE 560 : 0.1525604 


s: 561 
logit 561 : -0.4923416 
logit mean 561 : -0.4150104 
logit RMSE 561 : 0.05724918 

boosting 561 : -0.4083965 
boosting mean 561 : -0.4759239 
boosting RMSE 561 : 0.1325085 

forest 561 : -0.3975333 
forest mean 561 : -0.3720246 
forest RMSE 561 : 0.05505464 

nnet 561 : -0.3211721 
nnet mean 561 : -0.4182624 
nnet RMSE 561 : 0.1524607 


s: 562 
logit 562 : -0.3452545 
logit mean 562 : -0.4148863 
logit RMSE 562 : 0.05724482 

boosting 562 : -0.5984646 
boosting mean 562 : -0.4761419 
boosting RMSE 562 : 0.132655 

forest 562 : -0.4110762 
forest mean 562 : -0.3720941 
forest RMSE 562 : 0.05500762 

nnet 562 : -0.4752747 
nnet mean 562 : -0.4183638 
nnet RMSE 562 : 0.1523581 


s: 563 
logit 563 : -0.413479 
logit mean 563 : -0.4148838 
logit RMSE 563 : 0.05719678 

boosting 563 : -0.5621346 
boosting mean 563 : -0.4762947 
boosting RMSE 563 : 0.1327132 

forest 563 : -0.4162034 
forest mean 563 : -0.3721725 
forest RMSE 563 : 0.05496299 

nnet 563 : -0.4080772 
nnet mean 563 : -0.4183456 
nnet RMSE 563 : 0.1522231 


s: 564 
logit 564 : -0.4012376 
logit mean 564 : -0.4148596 
logit RMSE 564 : 0.05714608 

boosting 564 : -0.4426069 
boosting mean 564 : -0.476235 
boosting RMSE 564 : 0.1326076 

forest 564 : -0.3334995 
forest mean 564 : -0.3721039 
forest RMSE 564 : 0.05498559 

nnet 564 : -0.3248068 
nnet mean 564 : -0.4181797 
nnet RMSE 564 : 0.1521210 


s: 565 
logit 565 : -0.4334612 
logit mean 565 : -0.4148925 
logit RMSE 565 : 0.05711283 

boosting 565 : -0.2864081 
boosting mean 565 : -0.475899 
boosting RMSE 565 : 0.1325764 

forest 565 : -0.2858600 
forest mean 565 : -0.3719512 
forest RMSE 565 : 0.05514637 

nnet 565 : -0.2800137 
nnet mean 565 : -0.4179352 
nnet RMSE 565 : 0.1520702 


s: 566 
logit 566 : -0.4864881 
logit mean 566 : -0.4150190 
logit RMSE 566 : 0.05717804 

boosting 566 : -0.4324122 
boosting mean 566 : -0.4758221 
boosting RMSE 566 : 0.1324662 

forest 566 : -0.3875479 
forest mean 566 : -0.3719788 
forest RMSE 566 : 0.05510012 

nnet 566 : -0.2077885 
nnet mean 566 : -0.4175639 
nnet RMSE 566 : 0.1521504 


s: 567 
logit 567 : -0.3129935 
logit mean 567 : -0.4148391 
logit RMSE 567 : 0.05724433 

boosting 567 : -0.5230214 
boosting mean 567 : -0.4759054 
boosting RMSE 567 : 0.1324501 

forest 567 : -0.4119656 
forest mean 567 : -0.3720493 
forest RMSE 567 : 0.0550538 

nnet 567 : -0.5028386 
nnet mean 567 : -0.4177143 
nnet RMSE 567 : 0.1520775 


s: 568 
logit 568 : -0.3272757 
logit mean 568 : -0.4146849 
logit RMSE 568 : 0.05727526 

boosting 568 : -0.7510899 
boosting mean 568 : -0.4763899 
boosting RMSE 568 : 0.1331509 

forest 568 : -0.3150331 
forest mean 568 : -0.3719489 
forest RMSE 568 : 0.05512073 

nnet 568 : -0.3580285 
nnet mean 568 : -0.4176092 
nnet RMSE 568 : 0.1519538 


s: 569 
logit 569 : -0.4879124 
logit mean 569 : -0.4148136 
logit RMSE 569 : 0.05734347 

boosting 569 : -0.629075 
boosting mean 569 : -0.4766582 
boosting RMSE 569 : 0.1333800 

forest 569 : -0.4011741 
forest mean 569 : -0.3720003 
forest RMSE 569 : 0.05507229 

nnet 569 : -0.3414529 
nnet mean 569 : -0.4174753 
nnet RMSE 569 : 0.1518401 


s: 570 
logit 570 : -0.5469664 
logit mean 570 : -0.4150455 
logit RMSE 570 : 0.05762289 

boosting 570 : -0.491917 
boosting mean 570 : -0.476685 
boosting RMSE 570 : 0.1333186 

forest 570 : -0.3784738 
forest mean 570 : -0.3720117 
forest RMSE 570 : 0.05503135 

nnet 570 : -0.4650991 
nnet mean 570 : -0.4175589 
nnet RMSE 570 : 0.1517313 


s: 571 
logit 571 : -0.398466 
logit mean 571 : -0.4150164 
logit RMSE 571 : 0.05757245 

boosting 571 : -0.2814630 
boosting mean 571 : -0.4763431 
boosting RMSE 571 : 0.1332941 

forest 571 : -0.4102204 
forest mean 571 : -0.3720786 
forest RMSE 571 : 0.0549848 

nnet 571 : -0.4523849 
nnet mean 571 : -0.4176199 
nnet RMSE 571 : 0.1516142 


s: 572 
logit 572 : -0.3657381 
logit mean 572 : -0.4149303 
logit RMSE 572 : 0.05753993 

boosting 572 : -0.4983045 
boosting mean 572 : -0.4763815 
boosting RMSE 572 : 0.1332410 

forest 572 : -0.4159053 
forest mean 572 : -0.3721552 
forest RMSE 572 : 0.05494074 

nnet 572 : -0.6176163 
nnet mean 572 : -0.4179695 
nnet RMSE 572 : 0.1517547 


s: 573 
logit 573 : -0.4710116 
logit mean 573 : -0.4150282 
logit RMSE 573 : 0.05756619 

boosting 573 : -0.5315231 
boosting mean 573 : -0.4764777 
boosting RMSE 573 : 0.1332380 

forest 573 : -0.3452902 
forest mean 573 : -0.3721083 
forest RMSE 573 : 0.05494034 

nnet 573 : -0.508209 
nnet mean 573 : -0.418127 
nnet RMSE 573 : 0.1516896 


s: 574 
logit 574 : -0.4283994 
logit mean 574 : -0.4150515 
logit RMSE 574 : 0.05752824 

boosting 574 : -0.402176 
boosting mean 574 : -0.4763483 
boosting RMSE 574 : 0.1331219 

forest 574 : -0.4376406 
forest mean 574 : -0.3722225 
forest RMSE 574 : 0.05491494 

nnet 574 : -0.4205542 
nnet mean 574 : -0.4181312 
nnet RMSE 574 : 0.1515598 


s: 575 
logit 575 : -0.4321038 
logit mean 575 : -0.4150811 
logit RMSE 575 : 0.05749378 

boosting 575 : -0.3852945 
boosting mean 575 : -0.4761899 
boosting RMSE 575 : 0.1330075 

forest 575 : -0.4440743 
forest mean 575 : -0.3723474 
forest RMSE 575 : 0.05489795 

nnet 575 : -0.4306435 
nnet mean 575 : -0.418153 
nnet RMSE 575 : 0.1514333 


s: 576 
logit 576 : -0.444473 
logit mean 576 : -0.4151321 
logit RMSE 576 : 0.05747373 

boosting 576 : -0.4653735 
boosting mean 576 : -0.4761711 
boosting RMSE 576 : 0.1329199 

forest 576 : -0.4538716 
forest mean 576 : -0.372489 
forest RMSE 576 : 0.05489618 

nnet 576 : -0.2703126 
nnet mean 576 : -0.4178963 
nnet RMSE 576 : 0.1513983 


s: 577 
logit 577 : -0.4053848 
logit mean 577 : -0.4151153 
logit RMSE 577 : 0.05742435 

boosting 577 : -0.1546572 
boosting mean 577 : -0.4756139 
boosting RMSE 577 : 0.1331969 

forest 577 : -0.2777449 
forest mean 577 : -0.3723248 
forest RMSE 577 : 0.05508422 

nnet 577 : -0.4884584 
nnet mean 577 : -0.4180186 
nnet RMSE 577 : 0.1513119 


s: 578 
logit 578 : -0.4006018 
logit mean 578 : -0.4150901 
logit RMSE 578 : 0.05737465 

boosting 578 : -0.5762317 
boosting mean 578 : -0.475788 
boosting RMSE 578 : 0.1332833 

forest 578 : -0.4222494 
forest mean 578 : -0.3724112 
forest RMSE 578 : 0.05504433 

nnet 578 : -0.2193670 
nnet mean 578 : -0.4176749 
nnet RMSE 578 : 0.1513675 


s: 579 
logit 579 : -0.3745046 
logit mean 579 : -0.4150200 
logit RMSE 579 : 0.05733488 

boosting 579 : -0.6207985 
boosting mean 579 : -0.4760384 
boosting RMSE 579 : 0.1334839 

forest 579 : -0.4480253 
forest mean 579 : -0.3725417 
forest RMSE 579 : 0.05503298 

nnet 579 : -0.6850568 
nnet mean 579 : -0.4181367 
nnet RMSE 579 : 0.1517 


s: 580 
logit 580 : -0.4003101 
logit mean 580 : -0.4149947 
logit RMSE 580 : 0.05728543 

boosting 580 : -0.4869838 
boosting mean 580 : -0.4760573 
boosting RMSE 580 : 0.1334177 

forest 580 : -0.5062278 
forest mean 580 : -0.3727722 
forest RMSE 580 : 0.05516215 

nnet 580 : -0.3138077 
nnet mean 580 : -0.4179569 
nnet RMSE 580 : 0.1516114 


s: 581 
logit 581 : -0.3653154 
logit mean 581 : -0.4149092 
logit RMSE 581 : 0.0572542 

boosting 581 : -0.4219970 
boosting mean 581 : -0.4759643 
boosting RMSE 581 : 0.1333060 

forest 581 : -0.4046191 
forest mean 581 : -0.3728271 
forest RMSE 581 : 0.05511499 

nnet 581 : -0.6463871 
nnet mean 581 : -0.41835 
nnet RMSE 581 : 0.1518254 


s: 582 
logit 582 : -0.3600798 
logit mean 582 : -0.414815 
logit RMSE 582 : 0.05722892 

boosting 582 : -0.5791879 
boosting mean 582 : -0.4761416 
boosting RMSE 582 : 0.1333983 

forest 582 : -0.3502540 
forest mean 582 : -0.3727883 
forest RMSE 582 : 0.05510621 

nnet 582 : -0.5711237 
nnet mean 582 : -0.4186125 
nnet RMSE 582 : 0.1518606 


s: 583 
logit 583 : -0.5472226 
logit mean 583 : -0.4150421 
logit RMSE 583 : 0.05750399 

boosting 583 : -0.4552543 
boosting mean 583 : -0.4761058 
boosting RMSE 583 : 0.1333035 

forest 583 : -0.3852315 
forest mean 583 : -0.3728096 
forest RMSE 583 : 0.05506233 

nnet 583 : -0.5077778 
nnet mean 583 : -0.4187655 
nnet RMSE 583 : 0.1517960 


s: 584 
logit 584 : -0.4328885 
logit mean 584 : -0.4150726 
logit RMSE 584 : 0.05747085 

boosting 584 : -0.5016621 
boosting mean 584 : -0.4761496 
boosting RMSE 584 : 0.1332558 

forest 584 : -0.3690102 
forest mean 584 : -0.3728031 
forest RMSE 584 : 0.05503011 

nnet 584 : -0.1682550 
nnet mean 584 : -0.4183365 
nnet RMSE 584 : 0.1519688 


s: 585 
logit 585 : -0.3823835 
logit mean 585 : -0.4150168 
logit RMSE 585 : 0.05742633 

boosting 585 : -0.3729015 
boosting mean 585 : -0.4759731 
boosting RMSE 585 : 0.1331465 

forest 585 : -0.3161371 
forest mean 585 : -0.3727062 
forest RMSE 585 : 0.05509227 

nnet 585 : -0.3656149 
nnet mean 585 : -0.4182464 
nnet RMSE 585 : 0.1518455 


s: 586 
logit 586 : -0.3975507 
logit mean 586 : -0.414987 
logit RMSE 586 : 0.0573774 

boosting 586 : -0.5007342 
boosting mean 586 : -0.4760153 
boosting RMSE 586 : 0.1330980 

forest 586 : -0.4293911 
forest mean 586 : -0.372803 
forest RMSE 586 : 0.05505864 

nnet 586 : -0.5911536 
nnet mean 586 : -0.4185415 
nnet RMSE 586 : 0.1519213 


s: 587 
logit 587 : -0.4225871 
logit mean 587 : -0.4149999 
logit RMSE 587 : 0.05733608 

boosting 587 : -0.4910732 
boosting mean 587 : -0.476041 
boosting RMSE 587 : 0.1330377 

forest 587 : -0.3392519 
forest mean 587 : -0.3727458 
forest RMSE 587 : 0.05506883 

nnet 587 : -0.1415512 
nnet mean 587 : -0.4180696 
nnet RMSE 587 : 0.1521662 


s: 588 
logit 588 : -0.3653193 
logit mean 588 : -0.4149154 
logit RMSE 588 : 0.05730516 

boosting 588 : -0.4622997 
boosting mean 588 : -0.4760176 
boosting RMSE 588 : 0.1329493 

forest 588 : -0.3516583 
forest mean 588 : -0.3727100 
forest RMSE 588 : 0.05505809 

nnet 588 : -0.4894863 
nnet mean 588 : -0.4181910 
nnet RMSE 588 : 0.1520815 


s: 589 
logit 589 : -0.408845 
logit mean 589 : -0.4149051 
logit RMSE 589 : 0.05725765 

boosting 589 : -0.2629806 
boosting mean 589 : -0.4756559 
boosting RMSE 589 : 0.1329563 

forest 589 : -0.4009692 
forest mean 589 : -0.3727579 
forest RMSE 589 : 0.05501134 

nnet 589 : -0.220348 
nnet mean 589 : -0.4178551 
nnet RMSE 589 : 0.1521326 


s: 590 
logit 590 : -0.3110617 
logit mean 590 : -0.4147291 
logit RMSE 590 : 0.05732616 

boosting 590 : -0.4718417 
boosting mean 590 : -0.4756495 
boosting RMSE 590 : 0.1328765 

forest 590 : -0.3693225 
forest mean 590 : -0.3727521 
forest RMSE 590 : 0.05497921 

nnet 590 : -0.5762704 
nnet mean 590 : -0.4181236 
nnet RMSE 590 : 0.1521767 


s: 591 
logit 591 : -0.438805 
logit mean 591 : -0.4147698 
logit RMSE 591 : 0.05729988 

boosting 591 : -0.5777872 
boosting mean 591 : -0.4758223 
boosting RMSE 591 : 0.1329653 

forest 591 : -0.4229922 
forest mean 591 : -0.3728371 
forest RMSE 591 : 0.05494082 

nnet 591 : -0.515854 
nnet mean 591 : -0.418289 
nnet RMSE 591 : 0.1521226 


s: 592 
logit 592 : -0.5300892 
logit mean 592 : -0.4149646 
logit RMSE 592 : 0.05750058 

boosting 592 : -0.6557519 
boosting mean 592 : -0.4761262 
boosting RMSE 592 : 0.1332682 

forest 592 : -0.3828431 
forest mean 592 : -0.372854 
forest RMSE 592 : 0.05489892 

nnet 592 : -0.2750086 
nnet mean 592 : -0.418047 
nnet RMSE 592 : 0.1520808 


s: 593 
logit 593 : -0.4134157 
logit mean 593 : -0.414962 
logit RMSE 593 : 0.05745472 

boosting 593 : -0.4376454 
boosting mean 593 : -0.4760613 
boosting RMSE 593 : 0.1331647 

forest 593 : -0.3551266 
forest mean 593 : -0.3728241 
forest RMSE 593 : 0.05488356 

nnet 593 : -0.4622053 
nnet mean 593 : -0.4181214 
nnet RMSE 593 : 0.1519740 


s: 594 
logit 594 : -0.2905958 
logit mean 594 : -0.4147527 
logit RMSE 594 : 0.05758157 

boosting 594 : -0.4365725 
boosting mean 594 : -0.4759948 
boosting RMSE 594 : 0.1330610 

forest 594 : -0.4000925 
forest mean 594 : -0.37287 
forest RMSE 594 : 0.05483734 

nnet 594 : -0.3736253 
nnet mean 594 : -0.4180465 
nnet RMSE 594 : 0.1518499 


s: 595 
logit 595 : -0.4751351 
logit mean 595 : -0.4148541 
logit RMSE 595 : 0.05761556 

boosting 595 : -0.4402155 
boosting mean 595 : -0.4759347 
boosting RMSE 595 : 0.1329594 

forest 595 : -0.2978342 
forest mean 595 : -0.3727439 
forest RMSE 595 : 0.05495109 

nnet 595 : -0.3761415 
nnet mean 595 : -0.4179761 
nnet RMSE 595 : 0.1517254 


s: 596 
logit 596 : -0.4680945 
logit mean 596 : -0.4149435 
logit RMSE 596 : 0.05763474 

boosting 596 : -0.5841028 
boosting mean 596 : -0.4761162 
boosting RMSE 596 : 0.1330617 

forest 596 : -0.4194505 
forest mean 596 : -0.3728223 
forest RMSE 596 : 0.05491075 

nnet 596 : -0.4880507 
nnet mean 596 : -0.4180937 
nnet RMSE 596 : 0.1516410 


s: 597 
logit 597 : -0.4720624 
logit mean 597 : -0.4150391 
logit RMSE 597 : 0.05766192 

boosting 597 : -0.486407 
boosting mean 597 : -0.4761334 
boosting RMSE 597 : 0.1329972 

forest 597 : -0.4061587 
forest mean 597 : -0.3728781 
forest RMSE 597 : 0.05486532 

nnet 597 : -0.4229802 
nnet mean 597 : -0.4181019 
nnet RMSE 597 : 0.1515168 


s: 598 
logit 598 : -0.5217502 
logit mean 598 : -0.4152176 
logit RMSE 598 : 0.05782841 

boosting 598 : -0.4204567 
boosting mean 598 : -0.4760403 
boosting RMSE 598 : 0.1328886 

forest 598 : -0.5004224 
forest mean 598 : -0.3730914 
forest RMSE 598 : 0.05497303 

nnet 598 : -0.3940499 
nnet mean 598 : -0.4180617 
nnet RMSE 598 : 0.1513903 


s: 599 
logit 599 : -0.4216129 
logit mean 599 : -0.4152283 
logit RMSE 599 : 0.05778687 

boosting 599 : -0.5277384 
boosting mean 599 : -0.4761266 
boosting RMSE 599 : 0.1328802 

forest 599 : -0.3992055 
forest mean 599 : -0.373135 
forest RMSE 599 : 0.05492713 

nnet 599 : -0.3871800 
nnet mean 599 : -0.4180101 
nnet RMSE 599 : 0.1512648 


s: 600 
logit 600 : -0.3631336 
logit mean 600 : -0.4151414 
logit RMSE 600 : 0.0577583 

boosting 600 : -0.3385165 
boosting mean 600 : -0.4758973 
boosting RMSE 600 : 0.1327931 

forest 600 : -0.2912393 
forest mean 600 : -0.3729985 
forest RMSE 600 : 0.05506066 

nnet 600 : -0.2930086 
nnet mean 600 : -0.4178018 
nnet RMSE 600 : 0.1512018 


s: 601 
logit 601 : -0.4022328 
logit mean 601 : -0.41512 
logit RMSE 601 : 0.0577103 

boosting 601 : -0.5473939 
boosting mean 601 : -0.4760162 
boosting RMSE 601 : 0.1328187 

forest 601 : -0.3245275 
forest mean 601 : -0.3729179 
forest RMSE 601 : 0.0551009 

nnet 601 : -0.7201884 
nnet mean 601 : -0.4183049 
nnet RMSE 601 : 0.1516394 


s: 602 
logit 602 : -0.425729 
logit mean 602 : -0.4151376 
logit RMSE 602 : 0.05767189 

boosting 602 : -0.2631561 
boosting mean 602 : -0.4756627 
boosting RMSE 602 : 0.1328255 

forest 602 : -0.3691914 
forest mean 602 : -0.3729117 
forest RMSE 602 : 0.05506944 

nnet 602 : -0.5756995 
nnet mean 602 : -0.4185664 
nnet RMSE 602 : 0.1516826 


s: 603 
logit 603 : -0.4552578 
logit mean 603 : -0.4152041 
logit RMSE 603 : 0.05766797 

boosting 603 : -0.4083753 
boosting mean 603 : -0.4755511 
boosting RMSE 603 : 0.1327158 

forest 603 : -0.3691453 
forest mean 603 : -0.3729054 
forest RMSE 603 : 0.0550381 

nnet 603 : -0.5100413 
nnet mean 603 : -0.4187181 
nnet RMSE 603 : 0.1516230 


s: 604 
logit 604 : -0.4471236 
logit mean 604 : -0.415257 
logit RMSE 604 : 0.0576521 

boosting 604 : -0.5257352 
boosting mean 604 : -0.4756342 
boosting RMSE 604 : 0.1327045 

forest 604 : -0.3208130 
forest mean 604 : -0.3728192 
forest RMSE 604 : 0.05508683 

nnet 604 : -0.3289732 
nnet mean 604 : -0.4185695 
nnet RMSE 604 : 0.1515250 


s: 605 
logit 605 : -0.3613203 
logit mean 605 : -0.4151678 
logit RMSE 605 : 0.0576259 

boosting 605 : -0.7761095 
boosting mean 605 : -0.4761308 
boosting RMSE 605 : 0.1334736 

forest 605 : -0.3534211 
forest mean 605 : -0.3727871 
forest RMSE 605 : 0.05507385 

nnet 605 : -0.4835014 
nnet mean 605 : -0.4186768 
nnet RMSE 605 : 0.1514377 


s: 606 
logit 606 : -0.455679 
logit mean 606 : -0.4152347 
logit RMSE 606 : 0.05762274 

boosting 606 : -0.4867465 
boosting mean 606 : -0.4761483 
boosting RMSE 606 : 0.1334100 

forest 606 : -0.3781407 
forest mean 606 : -0.3727960 
forest RMSE 606 : 0.05503556 

nnet 606 : -0.1984195 
nnet mean 606 : -0.4183133 
nnet RMSE 606 : 0.1515341 


s: 607 
logit 607 : -0.3921862 
logit mean 607 : -0.4151967 
logit RMSE 607 : 0.05757613 

boosting 607 : -0.2047883 
boosting mean 607 : -0.4757013 
boosting RMSE 607 : 0.1335353 

forest 607 : -0.4143444 
forest mean 607 : -0.3728644 
forest RMSE 607 : 0.05499329 

nnet 607 : -0.2328814 
nnet mean 607 : -0.4180078 
nnet RMSE 607 : 0.1515611 


s: 608 
logit 608 : -0.3658278 
logit mean 608 : -0.4151155 
logit RMSE 608 : 0.05754545 

boosting 608 : -0.4376227 
boosting mean 608 : -0.4756386 
boosting RMSE 608 : 0.1334342 

forest 608 : -0.3333822 
forest mean 608 : -0.3727995 
forest RMSE 608 : 0.05501442 

nnet 608 : -0.1709250 
nnet mean 608 : -0.4176015 
nnet RMSE 608 : 0.1517211 


s: 609 
logit 609 : -0.5360471 
logit mean 609 : -0.4153141 
logit RMSE 609 : 0.05776187 

boosting 609 : -0.532482 
boosting mean 609 : -0.475732 
boosting RMSE 609 : 0.1334326 

forest 609 : -0.4846557 
forest mean 609 : -0.3729831 
forest RMSE 609 : 0.05507617 

nnet 609 : -0.473074 
nnet mean 609 : -0.4176925 
nnet RMSE 609 : 0.1516254 


s: 610 
logit 610 : -0.4251825 
logit mean 610 : -0.4153303 
logit RMSE 610 : 0.05772351 

boosting 610 : -0.3148115 
boosting mean 610 : -0.4754682 
boosting RMSE 610 : 0.1333678 

forest 610 : -0.3005593 
forest mean 610 : -0.3728644 
forest RMSE 610 : 0.0551781 

nnet 610 : -0.4699954 
nnet mean 610 : -0.4177783 
nnet RMSE 610 : 0.1515276 


s: 611 
logit 611 : -0.4295649 
logit mean 611 : -0.4153535 
logit RMSE 611 : 0.05768865 

boosting 611 : -0.4067313 
boosting mean 611 : -0.4753557 
boosting RMSE 611 : 0.1332589 

forest 611 : -0.349161 
forest mean 611 : -0.3728256 
forest RMSE 611 : 0.05517128 

nnet 611 : -0.3397042 
nnet mean 611 : -0.4176505 
nnet RMSE 611 : 0.1514232 


s: 612 
logit 612 : -0.4464757 
logit mean 612 : -0.4154044 
logit RMSE 612 : 0.05767211 

boosting 612 : -0.3204315 
boosting mean 612 : -0.4751025 
boosting RMSE 612 : 0.1331888 

forest 612 : -0.3160386 
forest mean 612 : -0.3727328 
forest RMSE 612 : 0.05523056 

nnet 612 : -0.4463516 
nnet mean 612 : -0.4176974 
nnet RMSE 612 : 0.1513111 


s: 613 
logit 613 : -0.4808305 
logit mean 613 : -0.4155111 
logit RMSE 613 : 0.05771746 

boosting 613 : -0.4651159 
boosting mean 613 : -0.4750862 
boosting RMSE 613 : 0.1331061 

forest 613 : -0.3329539 
forest mean 613 : -0.3726679 
forest RMSE 613 : 0.0552519 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 613 : -0.2360948 
nnet mean 613 : -0.4174012 
nnet RMSE 613 : 0.1513325 


s: 614 
logit 614 : -0.3208665 
logit mean 614 : -0.415357 
logit RMSE 614 : 0.05775879 

boosting 614 : -0.5646367 
boosting mean 614 : -0.4752321 
boosting RMSE 614 : 0.1331635 

forest 614 : -0.3433895 
forest mean 614 : -0.3726203 
forest RMSE 614 : 0.05525414 

nnet 614 : -0.4846904 
nnet mean 614 : -0.4175107 
nnet RMSE 614 : 0.1512478 


s: 615 
logit 615 : -0.3774448 
logit mean 615 : -0.4152953 
logit RMSE 615 : 0.05771898 

boosting 615 : -0.4687206 
boosting mean 615 : -0.4752215 
boosting RMSE 615 : 0.1330841 

forest 615 : -0.3889625 
forest mean 615 : -0.3726468 
forest RMSE 615 : 0.05521099 

nnet 615 : -0.5862891 
nnet mean 615 : -0.4177852 
nnet RMSE 615 : 0.1513114 


s: 616 
logit 616 : -0.4432427 
logit mean 616 : -0.4153407 
logit RMSE 616 : 0.05769842 

boosting 616 : -0.6277653 
boosting mean 616 : -0.4754691 
boosting RMSE 616 : 0.1332923 

forest 616 : -0.4797514 
forest mean 616 : -0.3728207 
forest RMSE 616 : 0.05525966 

nnet 616 : -0.3506863 
nnet mean 616 : -0.4176763 
nnet RMSE 616 : 0.1512015 


s: 617 
logit 617 : -0.5010665 
logit mean 617 : -0.4154797 
logit RMSE 617 : 0.05779505 

boosting 617 : -0.4263627 
boosting mean 617 : -0.4753896 
boosting RMSE 617 : 0.1331885 

forest 617 : -0.4641521 
forest mean 617 : -0.3729687 
forest RMSE 617 : 0.05527523 

nnet 617 : -0.2917173 
nnet mean 617 : -0.4174721 
nnet RMSE 617 : 0.1511418 


s: 618 
logit 618 : -0.3740334 
logit mean 618 : -0.4154126 
logit RMSE 618 : 0.05775771 

boosting 618 : -0.4108604 
boosting mean 618 : -0.4752851 
boosting RMSE 618 : 0.1330814 

forest 618 : -0.2982507 
forest mean 618 : -0.3728478 
forest RMSE 618 : 0.05538194 

nnet 618 : -0.252607 
nnet mean 618 : -0.4172053 
nnet RMSE 618 : 0.1511359 


s: 619 
logit 619 : -0.4245044 
logit mean 619 : -0.4154273 
logit RMSE 619 : 0.05771944 

boosting 619 : -0.4576385 
boosting mean 619 : -0.4752566 
boosting RMSE 619 : 0.1329940 

forest 619 : -0.3810036 
forest mean 619 : -0.372861 
forest RMSE 619 : 0.05534245 

nnet 619 : -0.3678760 
nnet mean 619 : -0.4171256 
nnet RMSE 619 : 0.1510192 


s: 620 
logit 620 : -0.5591957 
logit mean 620 : -0.4156592 
logit RMSE 620 : 0.05802618 

boosting 620 : -0.4333647 
boosting mean 620 : -0.4751891 
boosting RMSE 620 : 0.1328935 

forest 620 : -0.385357 
forest mean 620 : -0.3728811 
forest RMSE 620 : 0.05530093 

nnet 620 : -0.2669006 
nnet mean 620 : -0.4168833 
nnet RMSE 620 : 0.1509920 


s: 621 
logit 621 : -0.4249485 
logit mean 621 : -0.4156741 
logit RMSE 621 : 0.05798808 

boosting 621 : -0.4762418 
boosting mean 621 : -0.4751908 
boosting RMSE 621 : 0.1328217 

forest 621 : -0.2808236 
forest mean 621 : -0.3727329 
forest RMSE 621 : 0.05546296 

nnet 621 : -0.5594294 
nnet mean 621 : -0.4171129 
nnet RMSE 621 : 0.1510060 


s: 622 
logit 622 : -0.3171555 
logit mean 622 : -0.4155157 
logit RMSE 622 : 0.05803659 

boosting 622 : -0.3590114 
boosting mean 622 : -0.475004 
boosting RMSE 622 : 0.1327250 

forest 622 : -0.3403316 
forest mean 622 : -0.3726808 
forest RMSE 622 : 0.05546998 

nnet 622 : -0.5005236 
nnet mean 622 : -0.417247 
nnet RMSE 622 : 0.1509384 


s: 623 
logit 623 : -0.3981252 
logit mean 623 : -0.4154878 
logit RMSE 623 : 0.05799004 

boosting 623 : -0.4741149 
boosting mean 623 : -0.4750025 
boosting RMSE 623 : 0.1326517 

forest 623 : -0.3960126 
forest mean 623 : -0.3727183 
forest RMSE 623 : 0.05542567 

nnet 623 : -0.4449636 
nnet mean 623 : -0.4172915 
nnet RMSE 623 : 0.1508280 


s: 624 
logit 624 : -0.4011823 
logit mean 624 : -0.4154649 
logit RMSE 624 : 0.05794357 

boosting 624 : -0.5043011 
boosting mean 624 : -0.4750495 
boosting RMSE 624 : 0.1326111 

forest 624 : -0.3369185 
forest mean 624 : -0.3726609 
forest RMSE 624 : 0.05543878 

nnet 624 : -0.3156729 
nnet mean 624 : -0.4171286 
nnet RMSE 624 : 0.1507449 


s: 625 
logit 625 : -0.4365525 
logit mean 625 : -0.4154986 
logit RMSE 625 : 0.05791566 

boosting 625 : -0.5662999 
boosting mean 625 : -0.4751955 
boosting RMSE 625 : 0.1326719 

forest 625 : -0.4432301 
forest mean 625 : -0.3727738 
forest RMSE 625 : 0.0554214 

nnet 625 : -0.4618989 
nnet mean 625 : -0.4172003 
nnet RMSE 625 : 0.1506446 


s: 626 
logit 626 : -0.3383462 
logit mean 626 : -0.4153754 
logit RMSE 626 : 0.05792182 

boosting 626 : -0.605698 
boosting mean 626 : -0.475404 
boosting RMSE 626 : 0.1328205 

forest 626 : -0.3781597 
forest mean 626 : -0.3727824 
forest RMSE 626 : 0.05538399 

nnet 626 : -0.3917793 
nnet mean 626 : -0.4171596 
nnet RMSE 626 : 0.1505246 


s: 627 
logit 627 : -0.3828918 
logit mean 627 : -0.4153236 
logit RMSE 627 : 0.05787965 

boosting 627 : -0.3835096 
boosting mean 627 : -0.4752574 
boosting RMSE 627 : 0.1327162 

forest 627 : -0.4099183 
forest mean 627 : -0.3728416 
forest RMSE 627 : 0.05534123 

nnet 627 : -0.3860245 
nnet mean 627 : -0.41711 
nnet RMSE 627 : 0.1504055 


s: 628 
logit 628 : -0.3329708 
logit mean 628 : -0.4151924 
logit RMSE 628 : 0.05789537 

boosting 628 : -0.3606366 
boosting mean 628 : -0.4750749 
boosting RMSE 628 : 0.1326198 

forest 628 : -0.3396942 
forest mean 628 : -0.3727889 
forest RMSE 628 : 0.05534949 

nnet 628 : -0.3000456 
nnet mean 628 : -0.4169236 
nnet RMSE 628 : 0.1503386 


s: 629 
logit 629 : -0.2892662 
logit mean 629 : -0.4149922 
logit RMSE 629 : 0.05801757 

boosting 629 : -0.5973164 
boosting mean 629 : -0.4752692 
boosting RMSE 629 : 0.1327477 

forest 629 : -0.3808851 
forest mean 629 : -0.3728017 
forest RMSE 629 : 0.05531072 

nnet 629 : -0.1959559 
nnet mean 629 : -0.4165723 
nnet RMSE 629 : 0.1504392 


s: 630 
logit 630 : -0.4099005 
logit mean 630 : -0.4149842 
logit RMSE 630 : 0.05797285 

boosting 630 : -0.5125215 
boosting mean 630 : -0.4753284 
boosting RMSE 630 : 0.1327180 

forest 630 : -0.3664067 
forest mean 630 : -0.3727916 
forest RMSE 630 : 0.05528301 

nnet 630 : -0.4601386 
nnet mean 630 : -0.4166414 
nnet RMSE 630 : 0.1503389 


s: 631 
logit 631 : -0.3794192 
logit mean 631 : -0.4149278 
logit RMSE 631 : 0.05793269 

boosting 631 : -0.3897991 
boosting mean 631 : -0.4751928 
boosting RMSE 631 : 0.1326134 

forest 631 : -0.324744 
forest mean 631 : -0.3727154 
forest RMSE 631 : 0.05532037 

nnet 631 : -0.3718699 
nnet mean 631 : -0.4165705 
nnet RMSE 631 : 0.1502239 


s: 632 
logit 632 : -0.4561422 
logit mean 632 : -0.414993 
logit RMSE 632 : 0.0579299 

boosting 632 : -0.5604009 
boosting mean 632 : -0.4753276 
boosting RMSE 632 : 0.1326620 

forest 632 : -0.4090752 
forest mean 632 : -0.3727730 
forest RMSE 632 : 0.05527776 

nnet 632 : -0.4260983 
nnet mean 632 : -0.4165856 
nnet RMSE 632 : 0.1501086 


s: 633 
logit 633 : -0.316336 
logit mean 633 : -0.4148371 
logit RMSE 633 : 0.05797956 

boosting 633 : -0.5801135 
boosting mean 633 : -0.4754932 
boosting RMSE 633 : 0.1327504 

forest 633 : -0.4034073 
forest mean 633 : -0.3728214 
forest RMSE 633 : 0.05523425 

nnet 633 : -0.5967479 
nnet mean 633 : -0.4168702 
nnet RMSE 633 : 0.1501937 


s: 634 
logit 634 : -0.4432419 
logit mean 634 : -0.4148820 
logit RMSE 634 : 0.05795927 

boosting 634 : -0.4571594 
boosting mean 634 : -0.4754643 
boosting RMSE 634 : 0.1326650 

forest 634 : -0.3418216 
forest mean 634 : -0.3727725 
forest RMSE 634 : 0.05523902 

nnet 634 : -0.3234289 
nnet mean 634 : -0.4167228 
nnet RMSE 634 : 0.150106 


s: 635 
logit 635 : -0.4952913 
logit mean 635 : -0.4150086 
logit RMSE 635 : 0.05803694 

boosting 635 : -0.5152818 
boosting mean 635 : -0.475527 
boosting RMSE 635 : 0.1326395 

forest 635 : -0.3456391 
forest mean 635 : -0.3727297 
forest RMSE 635 : 0.05523765 

nnet 635 : -0.7785 
nnet mean 635 : -0.4172925 
nnet RMSE 635 : 0.1507380 


s: 636 
logit 636 : -0.3756146 
logit mean 636 : -0.4149466 
logit RMSE 636 : 0.05799936 

boosting 636 : -0.5413407 
boosting mean 636 : -0.4756304 
boosting RMSE 636 : 0.1326536 

forest 636 : -0.4122175 
forest mean 636 : -0.3727918 
forest RMSE 636 : 0.05519633 

nnet 636 : -0.4766697 
nnet mean 636 : -0.4173859 
nnet RMSE 636 : 0.1506501 


s: 637 
logit 637 : -0.4048344 
logit mean 637 : -0.4149308 
logit RMSE 637 : 0.05795413 

boosting 637 : -0.5468728 
boosting mean 637 : -0.4757423 
boosting RMSE 637 : 0.1326771 

forest 637 : -0.3614719 
forest mean 637 : -0.3727740 
forest RMSE 637 : 0.05517411 

nnet 637 : -0.02244941 
nnet mean 637 : -0.4167659 
nnet RMSE 637 : 0.1512733 


s: 638 
logit 638 : -0.3867993 
logit mean 638 : -0.4148867 
logit RMSE 638 : 0.05791105 

boosting 638 : -0.4655432 
boosting mean 638 : -0.4757263 
boosting RMSE 638 : 0.1325985 

forest 638 : -0.4226594 
forest mean 638 : -0.3728522 
forest RMSE 638 : 0.05513815 

nnet 638 : -0.01634754 
nnet mean 638 : -0.4161383 
nnet RMSE 638 : 0.1519159 


s: 639 
logit 639 : -0.4704044 
logit mean 639 : -0.4149736 
logit RMSE 639 : 0.05793271 

boosting 639 : -0.5976164 
boosting mean 639 : -0.4759171 
boosting RMSE 639 : 0.1327251 

forest 639 : -0.42368 
forest mean 639 : -0.3729318 
forest RMSE 639 : 0.05510295 

nnet 639 : -0.6567892 
nnet mean 639 : -0.4165149 
nnet RMSE 639 : 0.1521365 


s: 640 
logit 640 : -0.3790514 
logit mean 640 : -0.4149174 
logit RMSE 640 : 0.05789335 

boosting 640 : -0.3790433 
boosting mean 640 : -0.4757657 
boosting RMSE 640 : 0.1326240 

forest 640 : -0.3048358 
forest mean 640 : -0.3728254 
forest RMSE 640 : 0.05518824 

nnet 640 : -0.3793354 
nnet mean 640 : -0.4164568 
nnet RMSE 640 : 0.1520198 


s: 641 
logit 641 : -0.3927486 
logit mean 641 : -0.4148828 
logit RMSE 641 : 0.05784889 

boosting 641 : -0.5210811 
boosting mean 641 : -0.4758364 
boosting RMSE 641 : 0.1326067 

forest 641 : -0.4617577 
forest mean 641 : -0.3729641 
forest RMSE 641 : 0.05519909 

nnet 641 : -0.5206586 
nnet mean 641 : -0.4166193 
nnet RMSE 641 : 0.1519759 


s: 642 
logit 642 : -0.4360012 
logit mean 642 : -0.4149157 
logit RMSE 642 : 0.05782127 

boosting 642 : -0.380435 
boosting mean 642 : -0.4756878 
boosting RMSE 642 : 0.1325057 

forest 642 : -0.389242 
forest mean 642 : -0.3729895 
forest RMSE 642 : 0.05515772 

nnet 642 : -0.4414244 
nnet mean 642 : -0.416658 
nnet RMSE 642 : 0.1518663 


s: 643 
logit 643 : -0.3924508 
logit mean 643 : -0.4148808 
logit RMSE 643 : 0.05777706 

boosting 643 : -0.588036 
boosting mean 643 : -0.4758625 
boosting RMSE 643 : 0.1326101 

forest 643 : -0.3776382 
forest mean 643 : -0.3729967 
forest RMSE 643 : 0.05512187 

nnet 643 : -0.4070539 
nnet mean 643 : -0.4166430 
nnet RMSE 643 : 0.1517484 


s: 644 
logit 644 : -0.4896477 
logit mean 644 : -0.4149969 
logit RMSE 644 : 0.05784017 

boosting 644 : -0.4165143 
boosting mean 644 : -0.4757704 
boosting RMSE 644 : 0.1325087 

forest 644 : -0.4151699 
forest mean 644 : -0.3730622 
forest RMSE 644 : 0.0550823 

nnet 644 : -0.4075245 
nnet mean 644 : -0.4166289 
nnet RMSE 644 : 0.1516308 


s: 645 
logit 645 : -0.466043 
logit mean 645 : -0.415076 
logit RMSE 645 : 0.05785378 

boosting 645 : -0.5533881 
boosting mean 645 : -0.4758907 
boosting RMSE 645 : 0.1325436 

forest 645 : -0.4609764 
forest mean 645 : -0.3731985 
forest RMSE 645 : 0.05509193 

nnet 645 : -0.1913540 
nnet mean 645 : -0.4162796 
nnet RMSE 645 : 0.1517358 


s: 646 
logit 646 : -0.4356934 
logit mean 646 : -0.4151080 
logit RMSE 646 : 0.05782604 

boosting 646 : -0.5688465 
boosting mean 646 : -0.4760346 
boosting RMSE 646 : 0.1326075 

forest 646 : -0.3683055 
forest mean 646 : -0.3731909 
forest RMSE 646 : 0.05506339 

nnet 646 : -0.4843106 
nnet mean 646 : -0.4163849 
nnet RMSE 646 : 0.1516546 


s: 647 
logit 647 : -0.4610091 
logit mean 647 : -0.4151789 
logit RMSE 647 : 0.0578311 

boosting 647 : -0.7311857 
boosting mean 647 : -0.4764289 
boosting RMSE 647 : 0.1331431 

forest 647 : -0.4277978 
forest mean 647 : -0.3732753 
forest RMSE 647 : 0.05503167 

nnet 647 : -0.3721395 
nnet mean 647 : -0.4163165 
nnet RMSE 647 : 0.1515413 


s: 648 
logit 648 : -0.3747426 
logit mean 648 : -0.4151165 
logit RMSE 648 : 0.05779498 

boosting 648 : -0.4880935 
boosting mean 648 : -0.4764469 
boosting RMSE 648 : 0.1330854 

forest 648 : -0.3546892 
forest mean 648 : -0.3732466 
forest RMSE 648 : 0.055018 

nnet 648 : -0.3719692 
nnet mean 648 : -0.4162481 
nnet RMSE 648 : 0.1514284 


s: 649 
logit 649 : -0.5387069 
logit mean 649 : -0.4153069 
logit RMSE 649 : 0.05800653 

boosting 649 : -0.4794194 
boosting mean 649 : -0.4764515 
boosting RMSE 649 : 0.1330193 

forest 649 : -0.3669220 
forest mean 649 : -0.3732369 
forest RMSE 649 : 0.05499092 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 649 : -0.2987281 
nnet mean 649 : -0.416067 
nnet RMSE 649 : 0.1513639 


s: 650 
logit 650 : -0.3934477 
logit mean 650 : -0.4152733 
logit RMSE 650 : 0.05796246 

boosting 650 : -0.5041562 
boosting mean 650 : -0.4764941 
boosting RMSE 650 : 0.1329797 

forest 650 : -0.4033923 
forest mean 650 : -0.3732833 
forest RMSE 650 : 0.05494877 

nnet 650 : -0.5611562 
nnet mean 650 : -0.4162902 
nnet RMSE 650 : 0.1513794 


s: 651 
logit 651 : -0.4648341 
logit mean 651 : -0.4153494 
logit RMSE 651 : 0.05797364 

boosting 651 : -0.5113315 
boosting mean 651 : -0.4765477 
boosting RMSE 651 : 0.1329492 

forest 651 : -0.3808473 
forest mean 651 : -0.3732949 
forest RMSE 651 : 0.05491168 

nnet 651 : -0.6652835 
nnet mean 651 : -0.4166727 
nnet RMSE 651 : 0.15162 


s: 652 
logit 652 : -0.4603839 
logit mean 652 : -0.4154185 
logit RMSE 652 : 0.05797741 

boosting 652 : -0.4016335 
boosting mean 652 : -0.4764328 
boosting RMSE 652 : 0.1328472 

forest 652 : -0.2999182 
forest mean 652 : -0.3731824 
forest RMSE 652 : 0.05500937 

nnet 652 : -0.5152456 
nnet mean 652 : -0.4168239 
nnet RMSE 652 : 0.1515709 


s: 653 
logit 653 : -0.3030726 
logit mean 653 : -0.4152465 
logit RMSE 653 : 0.05805704 

boosting 653 : -0.6091746 
boosting mean 653 : -0.476636 
boosting RMSE 653 : 0.1329976 

forest 653 : -0.3945740 
forest mean 653 : -0.3732151 
forest RMSE 653 : 0.05496764 

nnet 653 : -0.3967867 
nnet mean 653 : -0.4167932 
nnet RMSE 653 : 0.1514549 


s: 654 
logit 654 : -0.4032557 
logit mean 654 : -0.4152281 
logit RMSE 654 : 0.05801278 

boosting 654 : -0.4561132 
boosting mean 654 : -0.4766047 
boosting RMSE 654 : 0.1329140 

forest 654 : -0.3539767 
forest mean 654 : -0.3731857 
forest RMSE 654 : 0.05495507 

nnet 654 : -0.3798643 
nnet mean 654 : -0.4167368 
nnet RMSE 654 : 0.1513411 


s: 655 
logit 655 : -0.4300175 
logit mean 655 : -0.4152507 
logit RMSE 655 : 0.05798034 

boosting 655 : -0.3654638 
boosting mean 655 : -0.476435 
boosting RMSE 655 : 0.1328193 

forest 655 : -0.3779734 
forest mean 655 : -0.373193 
forest RMSE 655 : 0.05491985 

nnet 655 : -0.3961527 
nnet mean 655 : -0.4167053 
nnet RMSE 655 : 0.1512256 


s: 656 
logit 656 : -0.3240777 
logit mean 656 : -0.4151117 
logit RMSE 656 : 0.05801192 

boosting 656 : -0.3363784 
boosting mean 656 : -0.4762215 
boosting RMSE 656 : 0.1327413 

forest 656 : -0.3683000 
forest mean 656 : -0.3731856 
forest RMSE 656 : 0.05489193 

nnet 656 : -0.4259692 
nnet mean 656 : -0.4167195 
nnet RMSE 656 : 0.1511137 


s: 657 
logit 657 : -0.3917477 
logit mean 657 : -0.4150762 
logit RMSE 657 : 0.05796864 

boosting 657 : -0.4699022 
boosting mean 657 : -0.4762119 
boosting RMSE 657 : 0.1326683 

forest 657 : -0.3638222 
forest mean 657 : -0.3731713 
forest RMSE 657 : 0.0548683 

nnet 657 : -0.4317333 
nnet mean 657 : -0.4167423 
nnet RMSE 657 : 0.1510037 


s: 658 
logit 658 : -0.3682333 
logit mean 658 : -0.415005 
logit RMSE 658 : 0.05793782 

boosting 658 : -0.6013904 
boosting mean 658 : -0.4764021 
boosting RMSE 658 : 0.1327997 

forest 658 : -0.3091685 
forest mean 658 : -0.373074 
forest RMSE 658 : 0.05494082 

nnet 658 : -0.5084816 
nnet mean 658 : -0.4168817 
nnet RMSE 658 : 0.1509482 


s: 659 
logit 659 : -0.5165978 
logit mean 659 : -0.4151591 
logit RMSE 659 : 0.05807174 

boosting 659 : -0.3949852 
boosting mean 659 : -0.4762786 
boosting RMSE 659 : 0.1326990 

forest 659 : -0.4032994 
forest mean 659 : -0.3731199 
forest RMSE 659 : 0.05489927 

nnet 659 : -0.223899 
nnet mean 659 : -0.4165889 
nnet RMSE 659 : 0.1509895 


s: 660 
logit 660 : -0.5113268 
logit mean 660 : -0.4153048 
logit RMSE 660 : 0.0581893 

boosting 660 : -0.2991265 
boosting mean 660 : -0.4760101 
boosting RMSE 660 : 0.1326566 

forest 660 : -0.3950711 
forest mean 660 : -0.3731532 
forest RMSE 660 : 0.054858 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 660 : -0.2913166 
nnet mean 660 : -0.4163991 
nnet RMSE 660 : 0.1509344 


s: 661 
logit 661 : -0.3469104 
logit mean 661 : -0.4152014 
logit RMSE 661 : 0.05818193 

boosting 661 : -0.4086795 
boosting mean 661 : -0.4759083 
boosting RMSE 661 : 0.1325567 

forest 661 : -0.3206016 
forest mean 661 : -0.3730737 
forest RMSE 661 : 0.05490341 

nnet 661 : -0.3904515 
nnet mean 661 : -0.4163598 
nnet RMSE 661 : 0.1508206 


s: 662 
logit 662 : -0.3743338 
logit mean 662 : -0.4151396 
logit RMSE 662 : 0.05814652 

boosting 662 : -0.4269512 
boosting mean 662 : -0.4758343 
boosting RMSE 662 : 0.1324606 

forest 662 : -0.4809284 
forest mean 662 : -0.3732366 
forest RMSE 662 : 0.05495202 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 662 : -0.2845784 
nnet mean 662 : -0.4161608 
nnet RMSE 662 : 0.1507734 


s: 663 
logit 663 : -0.4445854 
logit mean 663 : -0.4151840 
logit RMSE 663 : 0.05812845 

boosting 663 : -0.4460122 
boosting mean 663 : -0.4757893 
boosting RMSE 663 : 0.1323728 

forest 663 : -0.3665712 
forest mean 663 : -0.3732265 
forest RMSE 663 : 0.0549259 

nnet 663 : -0.4279853 
nnet mean 663 : -0.4161786 
nnet RMSE 663 : 0.1506636 


s: 664 
logit 664 : -0.3875957 
logit mean 664 : -0.4151425 
logit RMSE 664 : 0.05808666 

boosting 664 : -0.2903611 
boosting mean 664 : -0.4755101 
boosting RMSE 664 : 0.1323415 

forest 664 : -0.387583 
forest mean 664 : -0.3732481 
forest RMSE 664 : 0.05488664 

nnet 664 : -0.5190589 
nnet mean 664 : -0.4163335 
nnet RMSE 664 : 0.1506210 


s: 665 
logit 665 : -0.3215281 
logit mean 665 : -0.4150017 
logit RMSE 665 : 0.05812268 

boosting 665 : -0.5076304 
boosting mean 665 : -0.4755584 
boosting RMSE 665 : 0.1323078 

forest 665 : -0.3446992 
forest mean 665 : -0.3732052 
forest RMSE 665 : 0.05488727 

nnet 665 : -0.5794431 
nnet mean 665 : -0.4165788 
nnet RMSE 665 : 0.1506685 


s: 666 
logit 666 : -0.3831916 
logit mean 666 : -0.4149540 
logit RMSE 666 : 0.05808268 

boosting 666 : -0.5256727 
boosting mean 666 : -0.4756336 
boosting RMSE 666 : 0.1322981 

forest 666 : -0.4026818 
forest mean 666 : -0.3732495 
forest RMSE 666 : 0.05484614 

nnet 666 : -0.484237 
nnet mean 666 : -0.4166804 
nnet RMSE 666 : 0.1505907 


s: 667 
logit 667 : -0.3537713 
logit mean 667 : -0.4148622 
logit RMSE 667 : 0.05806672 

boosting 667 : -0.4826713 
boosting mean 667 : -0.4756442 
boosting RMSE 667 : 0.1322376 

forest 667 : -0.3766962 
forest mean 667 : -0.3732546 
forest RMSE 667 : 0.05481244 

nnet 667 : -0.400005 
nnet mean 667 : -0.4166554 
nnet RMSE 667 : 0.1504777 


s: 668 
logit 668 : -0.3639992 
logit mean 668 : -0.4147861 
logit RMSE 668 : 0.05803996 

boosting 668 : -0.4029975 
boosting mean 668 : -0.4755354 
boosting RMSE 668 : 0.1321386 

forest 668 : -0.3550031 
forest mean 668 : -0.3732273 
forest RMSE 668 : 0.05479906 

nnet 668 : -0.5693567 
nnet mean 668 : -0.416884 
nnet RMSE 668 : 0.1505078 


s: 669 
logit 669 : -0.3242778 
logit mean 669 : -0.4146508 
logit RMSE 669 : 0.05807041 

boosting 669 : -0.5528742 
boosting mean 669 : -0.475651 
boosting RMSE 669 : 0.1321721 

forest 669 : -0.3734304 
forest mean 669 : -0.3732276 
forest RMSE 669 : 0.05476773 

nnet 669 : -0.6628268 
nnet mean 669 : -0.4172516 
nnet RMSE 669 : 0.1507381 


s: 670 
logit 670 : -0.5267001 
logit mean 670 : -0.414818 
logit RMSE 670 : 0.05823314 

boosting 670 : -0.4264466 
boosting mean 670 : -0.4755776 
boosting RMSE 670 : 0.1320773 

forest 670 : -0.3183143 
forest mean 670 : -0.3731457 
forest RMSE 670 : 0.05481775 

nnet 670 : -0.5780101 
nnet mean 670 : -0.4174916 
nnet RMSE 670 : 0.1507825 


s: 671 
logit 671 : -0.4306554 
logit mean 671 : -0.4148416 
logit RMSE 671 : 0.05820176 

boosting 671 : -0.4851082 
boosting mean 671 : -0.4755918 
boosting RMSE 671 : 0.1320198 

forest 671 : -0.4317286 
forest mean 671 : -0.373233 
forest RMSE 671 : 0.05479058 

nnet 671 : -0.5999759 
nnet mean 671 : -0.4177635 
nnet RMSE 671 : 0.1508678 


s: 672 
logit 672 : -0.430541 
logit mean 672 : -0.414865 
logit RMSE 672 : 0.05817038 

boosting 672 : -0.4284688 
boosting mean 672 : -0.4755217 
boosting RMSE 672 : 0.1319261 

forest 672 : -0.4455539 
forest mean 672 : -0.3733406 
forest RMSE 672 : 0.05477799 

nnet 672 : -0.3762345 
nnet mean 672 : -0.4177017 
nnet RMSE 672 : 0.1507583 


s: 673 
logit 673 : -0.3723826 
logit mean 673 : -0.4148019 
logit RMSE 673 : 0.05813689 

boosting 673 : -0.3444769 
boosting mean 673 : -0.475327 
boosting RMSE 673 : 0.1318454 

forest 673 : -0.3517477 
forest mean 673 : -0.3733085 
forest RMSE 673 : 0.05476887 

nnet 673 : -0.4761196 
nnet mean 673 : -0.4177885 
nnet RMSE 673 : 0.1506748 


s: 674 
logit 674 : -0.3442678 
logit mean 674 : -0.4146972 
logit RMSE 674 : 0.0581334 

boosting 674 : -0.2803228 
boosting mean 674 : -0.4750376 
boosting RMSE 674 : 0.1318282 

forest 674 : -0.3840635 
forest mean 674 : -0.3733245 
forest RMSE 674 : 0.05473167 

nnet 674 : -0.2046987 
nnet mean 674 : -0.4174724 
nnet RMSE 674 : 0.1507508 


s: 675 
logit 675 : -0.4039261 
logit mean 675 : -0.4146813 
logit RMSE 675 : 0.05809051 

boosting 675 : -0.6506682 
boosting mean 675 : -0.4752978 
boosting RMSE 675 : 0.1320833 

forest 675 : -0.4100922 
forest mean 675 : -0.3733789 
forest RMSE 675 : 0.0546925 

nnet 675 : -0.6639765 
nnet mean 675 : -0.4178376 
nnet RMSE 675 : 0.1509813 


s: 676 
logit 676 : -0.4454664 
logit mean 676 : -0.4147268 
logit RMSE 676 : 0.05807387 

boosting 676 : -0.5217571 
boosting mean 676 : -0.4753666 
boosting RMSE 676 : 0.1320687 

forest 676 : -0.4328056 
forest mean 676 : -0.3734668 
forest RMSE 676 : 0.05466659 

nnet 676 : -0.3772931 
nnet mean 676 : -0.4177776 
nnet RMSE 676 : 0.1508722 


s: 677 
logit 677 : -0.4294494 
logit mean 677 : -0.4147486 
logit RMSE 677 : 0.058042 

boosting 677 : -0.3117814 
boosting mean 677 : -0.4751249 
boosting RMSE 677 : 0.1320146 

forest 677 : -0.3893695 
forest mean 677 : -0.3734903 
forest RMSE 677 : 0.05462773 

nnet 677 : -0.629945 
nnet mean 677 : -0.418091 
nnet RMSE 677 : 0.1510195 


s: 678 
logit 678 : -0.3291471 
logit mean 678 : -0.4146223 
logit RMSE 678 : 0.05806297 

boosting 678 : -0.5308458 
boosting mean 678 : -0.4752071 
boosting RMSE 678 : 0.1320129 

forest 678 : -0.3297917 
forest mean 678 : -0.3734259 
forest RMSE 678 : 0.05465398 

nnet 678 : -0.3629191 
nnet mean 678 : -0.4180096 
nnet RMSE 678 : 0.1509148 


s: 679 
logit 679 : -0.4407124 
logit mean 679 : -0.4146607 
logit RMSE 679 : 0.05804123 

boosting 679 : -0.718877 
boosting mean 679 : -0.475566 
boosting RMSE 679 : 0.1324821 

forest 679 : -0.5172387 
forest mean 679 : -0.3736377 
forest RMSE 679 : 0.05479873 

nnet 679 : -0.3694068 
nnet mean 679 : -0.417938 
nnet RMSE 679 : 0.1508082 


s: 680 
logit 680 : -0.4077326 
logit mean 680 : -0.4146505 
logit RMSE 680 : 0.0579993 

boosting 680 : -0.4922715 
boosting mean 680 : -0.4755905 
boosting RMSE 680 : 0.1324319 

forest 680 : -0.232023 
forest mean 680 : -0.3734294 
forest RMSE 680 : 0.05513601 

nnet 680 : -0.4688872 
nnet mean 680 : -0.4180129 
nnet RMSE 680 : 0.1507204 


s: 681 
logit 681 : -0.4424304 
logit mean 681 : -0.4146913 
logit RMSE 681 : 0.0579795 

boosting 681 : -0.5757432 
boosting mean 681 : -0.4757376 
boosting RMSE 681 : 0.1325059 

forest 681 : -0.3836205 
forest mean 681 : -0.3734444 
forest RMSE 681 : 0.05509909 

nnet 681 : -0.5627861 
nnet mean 681 : -0.4182255 
nnet RMSE 681 : 0.1507388 


s: 682 
logit 682 : -0.3711453 
logit mean 682 : -0.4146275 
logit RMSE 682 : 0.05794751 

boosting 682 : -0.5171586 
boosting mean 682 : -0.4757983 
boosting RMSE 682 : 0.1324847 

forest 682 : -0.3373243 
forest mean 682 : -0.3733914 
forest RMSE 682 : 0.05511096 

nnet 682 : -0.3429534 
nnet mean 682 : -0.4181152 
nnet RMSE 682 : 0.1506441 


s: 683 
logit 683 : -0.4125199 
logit mean 683 : -0.4146244 
logit RMSE 683 : 0.05790706 

boosting 683 : -0.3976056 
boosting mean 683 : -0.4756839 
boosting RMSE 683 : 0.1323877 

forest 683 : -0.3895131 
forest mean 683 : -0.373415 
forest RMSE 683 : 0.05507206 

nnet 683 : -0.3466914 
nnet mean 683 : -0.4180106 
nnet RMSE 683 : 0.1505476 


s: 684 
logit 684 : -0.4655415 
logit mean 684 : -0.4146988 
logit RMSE 684 : 0.05791896 

boosting 684 : -0.474735 
boosting mean 684 : -0.4756825 
boosting RMSE 684 : 0.1323217 

forest 684 : -0.4564694 
forest mean 684 : -0.3735365 
forest RMSE 684 : 0.05507413 

nnet 684 : -0.5563409 
nnet mean 684 : -0.4182128 
nnet RMSE 684 : 0.1505563 


s: 685 
logit 685 : -0.3546606 
logit mean 685 : -0.4146112 
logit RMSE 685 : 0.05790258 

boosting 685 : -0.4792281 
boosting mean 685 : -0.4756877 
boosting RMSE 685 : 0.1322598 

forest 685 : -0.4051971 
forest mean 685 : -0.3735827 
forest RMSE 685 : 0.05503428 

nnet 685 : -0.4647615 
nnet mean 685 : -0.4182808 
nnet RMSE 685 : 0.1504667 


s: 686 
logit 686 : -0.4462475 
logit mean 686 : -0.4146573 
logit RMSE 686 : 0.0578873 

boosting 686 : -0.4531684 
boosting mean 686 : -0.4756548 
boosting RMSE 686 : 0.1321789 

forest 686 : -0.4068502 
forest mean 686 : -0.3736312 
forest RMSE 686 : 0.05499477 

nnet 686 : -0.3854883 
nnet mean 686 : -0.418233 
nnet RMSE 686 : 0.150358 


s: 687 
logit 687 : -0.3695492 
logit mean 687 : -0.4145916 
logit RMSE 687 : 0.05785682 

boosting 687 : -0.4633951 
boosting mean 687 : -0.475637 
boosting RMSE 687 : 0.1321048 

forest 687 : -0.3540735 
forest mean 687 : -0.3736027 
forest RMSE 687 : 0.05498266 

nnet 687 : 0.043889 
nnet mean 687 : -0.4175603 
nnet RMSE 687 : 0.1512000 


s: 688 
logit 688 : -0.4257181 
logit mean 688 : -0.4146078 
logit RMSE 688 : 0.05782307 

boosting 688 : -0.5708958 
boosting mean 688 : -0.4757754 
boosting RMSE 688 : 0.1321695 

forest 688 : -0.4241769 
forest mean 688 : -0.3736762 
forest RMSE 688 : 0.05495042 

nnet 688 : -0.4279847 
nnet mean 688 : -0.4175755 
nnet RMSE 688 : 0.1510938 


s: 689 
logit 689 : -0.4333144 
logit mean 689 : -0.414635 
logit RMSE 689 : 0.05779503 

boosting 689 : -0.3539323 
boosting mean 689 : -0.4755986 
boosting RMSE 689 : 0.1320852 

forest 689 : -0.4041214 
forest mean 689 : -0.3737204 
forest RMSE 689 : 0.05491075 

nnet 689 : -0.4307485 
nnet mean 689 : -0.4175946 
nnet RMSE 689 : 0.1509887 


s: 690 
logit 690 : -0.3924759 
logit mean 690 : -0.4146029 
logit RMSE 690 : 0.05775385 

boosting 690 : -0.3552141 
boosting mean 690 : -0.4754241 
boosting RMSE 690 : 0.1320004 

forest 690 : -0.3478492 
forest mean 690 : -0.3736829 
forest RMSE 690 : 0.05490685 

nnet 690 : -0.3738248 
nnet mean 690 : -0.4175311 
nnet RMSE 690 : 0.1508825 


s: 691 
logit 691 : -0.3949063 
logit mean 691 : -0.4145743 
logit RMSE 691 : 0.05771237 

boosting 691 : -0.602461 
boosting mean 691 : -0.475608 
boosting RMSE 691 : 0.1321296 

forest 691 : -0.311594 
forest mean 691 : -0.3735931 
forest RMSE 691 : 0.05497008 

nnet 691 : -0.5343337 
nnet mean 691 : -0.4177002 
nnet RMSE 691 : 0.1508599 


s: 692 
logit 692 : -0.3752684 
logit mean 692 : -0.4145175 
logit RMSE 692 : 0.05767831 

boosting 692 : -0.5130351 
boosting mean 692 : -0.4756621 
boosting RMSE 692 : 0.1321040 

forest 692 : -0.5222203 
forest mean 692 : -0.3738078 
forest RMSE 692 : 0.05512649 

nnet 692 : -0.5556585 
nnet mean 692 : -0.4178995 
nnet RMSE 692 : 0.1508669 


s: 693 
logit 693 : -0.456856 
logit mean 693 : -0.4145786 
logit RMSE 693 : 0.05767714 

boosting 693 : -0.5036271 
boosting mean 693 : -0.4757024 
boosting RMSE 693 : 0.1320673 

forest 693 : -0.4147605 
forest mean 693 : -0.3738669 
forest RMSE 693 : 0.05508955 

nnet 693 : -0.6048574 
nnet mean 693 : -0.4181693 
nnet RMSE 693 : 0.1509587 


s: 694 
logit 694 : -0.4064359 
logit mean 694 : -0.4145669 
logit RMSE 694 : 0.05763609 

boosting 694 : -0.5316801 
boosting mean 694 : -0.4757831 
boosting RMSE 694 : 0.1320667 

forest 694 : -0.4044671 
forest mean 694 : -0.373911 
forest RMSE 694 : 0.05505011 

nnet 694 : -0.4154956 
nnet mean 694 : -0.4181655 
nnet RMSE 694 : 0.1508511 


s: 695 
logit 695 : -0.3368605 
logit mean 695 : -0.4144551 
logit RMSE 695 : 0.05764438 

boosting 695 : -0.2593674 
boosting mean 695 : -0.4754717 
boosting RMSE 695 : 0.1320795 

forest 695 : -0.4196468 
forest mean 695 : -0.3739768 
forest RMSE 695 : 0.05501554 

nnet 695 : -0.2777444 
nnet mean 695 : -0.4179634 
nnet RMSE 695 : 0.1508138 


s: 696 
logit 696 : -0.4332652 
logit mean 696 : -0.4144821 
logit RMSE 696 : 0.05761675 

boosting 696 : -0.5244173 
boosting mean 696 : -0.475542 
boosting RMSE 696 : 0.1320688 

forest 696 : -0.4796262 
forest mean 696 : -0.3741286 
forest RMSE 696 : 0.05505879 

nnet 696 : -0.2348914 
nnet mean 696 : -0.4177004 
nnet RMSE 696 : 0.1508353 


s: 697 
logit 697 : -0.3644359 
logit mean 697 : -0.4144103 
logit RMSE 697 : 0.05759116 

boosting 697 : -0.4934516 
boosting mean 697 : -0.4755677 
boosting RMSE 697 : 0.1320215 

forest 697 : -0.3373303 
forest mean 697 : -0.3740758 
forest RMSE 697 : 0.05507046 

nnet 697 : -0.5455318 
nnet mean 697 : -0.4178838 
nnet RMSE 697 : 0.1508279 


s: 698 
logit 698 : -0.4084484 
logit mean 698 : -0.4144018 
logit RMSE 698 : 0.05755078 

boosting 698 : -0.502168 
boosting mean 698 : -0.4756058 
boosting RMSE 698 : 0.1319835 

forest 698 : -0.3561789 
forest mean 698 : -0.3740502 
forest RMSE 698 : 0.05505599 

nnet 698 : -0.365652 
nnet mean 698 : -0.417809 
nnet RMSE 698 : 0.1507254 


s: 699 
logit 699 : -0.4272845 
logit mean 699 : -0.4144202 
logit RMSE 699 : 0.05751886 

boosting 699 : -0.599443 
boosting mean 699 : -0.475783 
boosting RMSE 699 : 0.1321046 

forest 699 : -0.3645866 
forest mean 699 : -0.3740366 
forest RMSE 699 : 0.0550329 

nnet 699 : -0.247047 
nnet mean 699 : -0.4175647 
nnet RMSE 699 : 0.1507286 


s: 700 
logit 700 : -0.2864894 
logit mean 700 : -0.4142375 
logit RMSE 700 : 0.05763766 

boosting 700 : -0.4407247 
boosting mean 700 : -0.4757329 
boosting RMSE 700 : 0.1320192 

forest 700 : -0.3005647 
forest mean 700 : -0.3739317 
forest RMSE 700 : 0.05512185 

nnet 700 : -0.4991826 
nnet mean 700 : -0.4176813 
nnet RMSE 700 : 0.1506675 


s: 701 
logit 701 : -0.5075663 
logit mean 701 : -0.4143706 
logit RMSE 701 : 0.05773964 

boosting 701 : -0.4951241 
boosting mean 701 : -0.4757606 
boosting RMSE 701 : 0.1319739 

forest 701 : -0.4347066 
forest mean 701 : -0.3740184 
forest RMSE 701 : 0.05509811 

nnet 701 : -0.3755709 
nnet mean 701 : -0.4176212 
nnet RMSE 701 : 0.1505629 


s: 702 
logit 702 : -0.4349207 
logit mean 702 : -0.4143999 
logit RMSE 702 : 0.05771355 

boosting 702 : -0.4400142 
boosting mean 702 : -0.4757096 
boosting RMSE 702 : 0.1318885 

forest 702 : -0.4266731 
forest mean 702 : -0.3740934 
forest RMSE 702 : 0.05506806 

nnet 702 : -0.5041901 
nnet mean 702 : -0.4177445 
nnet RMSE 702 : 0.1505070 


s: 703 
logit 703 : -0.3891899 
logit mean 703 : -0.414364 
logit RMSE 703 : 0.05767393 

boosting 703 : -0.5616613 
boosting mean 703 : -0.4758319 
boosting RMSE 703 : 0.1319357 

forest 703 : -0.39001 
forest mean 703 : -0.374116 
forest RMSE 703 : 0.05503017 

nnet 703 : -0.3894217 
nnet mean 703 : -0.4177042 
nnet RMSE 703 : 0.1504004 


s: 704 
logit 704 : -0.4096461 
logit mean 704 : -0.4143573 
logit RMSE 704 : 0.0576341 

boosting 704 : -0.2543528 
boosting mean 704 : -0.4755173 
boosting RMSE 704 : 0.1319561 

forest 704 : -0.3342219 
forest mean 704 : -0.3740594 
forest RMSE 704 : 0.05504692 

nnet 704 : -0.2574734 
nnet mean 704 : -0.4174766 
nnet RMSE 704 : 0.1503895 


s: 705 
logit 705 : -0.4124968 
logit mean 705 : -0.4143547 
logit RMSE 705 : 0.05759514 

boosting 705 : -0.489618 
boosting mean 705 : -0.4755373 
boosting RMSE 705 : 0.1319057 

forest 705 : -0.3348814 
forest mean 705 : -0.3740038 
forest RMSE 705 : 0.05506251 

nnet 705 : -0.4023767 
nnet mean 705 : -0.4174552 
nnet RMSE 705 : 0.1502828 


s: 706 
logit 706 : -0.4814032 
logit mean 706 : -0.4144496 
logit RMSE 706 : 0.05763581 

boosting 706 : -0.4911362 
boosting mean 706 : -0.4755594 
boosting RMSE 706 : 0.1318569 

forest 706 : -0.3694638 
forest mean 706 : -0.3739974 
forest RMSE 706 : 0.0550355 

nnet 706 : -0.4003551 
nnet mean 706 : -0.417431 
nnet RMSE 706 : 0.1501764 


s: 707 
logit 707 : -0.3761465 
logit mean 707 : -0.4143955 
logit RMSE 707 : 0.05760203 

boosting 707 : -0.3077695 
boosting mean 707 : -0.4753221 
boosting RMSE 707 : 0.1318093 

forest 707 : -0.3378369 
forest mean 707 : -0.3739462 
forest RMSE 707 : 0.05504624 

nnet 707 : -0.4017118 
nnet mean 707 : -0.4174087 
nnet RMSE 707 : 0.1500701 


s: 708 
logit 708 : -0.3580222 
logit mean 708 : -0.4143158 
logit RMSE 708 : 0.05758295 

boosting 708 : -0.4670955 
boosting mean 708 : -0.4753104 
boosting RMSE 708 : 0.1317403 

forest 708 : -0.3219954 
forest mean 708 : -0.3738728 
forest RMSE 708 : 0.05508541 

nnet 708 : -0.3233179 
nnet mean 708 : -0.4172759 
nnet RMSE 708 : 0.1499918 


s: 709 
logit 709 : -0.3365394 
logit mean 709 : -0.4142061 
logit RMSE 709 : 0.05759166 

boosting 709 : -0.4815906 
boosting mean 709 : -0.4753193 
boosting RMSE 709 : 0.1316830 

forest 709 : -0.3695852 
forest mean 709 : -0.3738668 
forest RMSE 709 : 0.0550584 

nnet 709 : -0.531864 
nnet mean 709 : -0.4174375 
nnet RMSE 709 : 0.1499678 


s: 710 
logit 710 : -0.3949012 
logit mean 710 : -0.4141789 
logit RMSE 710 : 0.0575514 

boosting 710 : -0.3840655 
boosting mean 710 : -0.4751908 
boosting RMSE 710 : 0.1315916 

forest 710 : -0.3958921 
forest mean 710 : -0.3738978 
forest RMSE 710 : 0.05501983 

nnet 710 : -0.3771134 
nnet mean 710 : -0.4173807 
nnet RMSE 710 : 0.1498646 


s: 711 
logit 711 : -0.4360887 
logit mean 711 : -0.4142098 
logit RMSE 711 : 0.05752684 

boosting 711 : -0.4796941 
boosting mean 711 : -0.4751971 
boosting RMSE 711 : 0.1315330 

forest 711 : -0.4384048 
forest mean 711 : -0.3739885 
forest RMSE 711 : 0.05499999 

nnet 711 : -0.3995617 
nnet mean 711 : -0.4173556 
nnet RMSE 711 : 0.1497592 


s: 712 
logit 712 : -0.4920054 
logit mean 712 : -0.414319 
logit RMSE 712 : 0.05758974 

boosting 712 : -0.3722341 
boosting mean 712 : -0.4750525 
boosting RMSE 712 : 0.1314447 

forest 712 : -0.4114423 
forest mean 712 : -0.3740411 
forest RMSE 712 : 0.05496302 

nnet 712 : -0.525082 
nnet mean 712 : -0.4175069 
nnet RMSE 712 : 0.1497274 


s: 713 
logit 713 : -0.4521781 
logit mean 713 : -0.4143721 
logit RMSE 713 : 0.05758251 

boosting 713 : -0.5589289 
boosting mean 713 : -0.4751701 
boosting RMSE 713 : 0.1314873 

forest 713 : -0.3996035 
forest mean 713 : -0.374077 
forest RMSE 713 : 0.05492447 

nnet 713 : -0.3297717 
nnet mean 713 : -0.4173839 
nnet RMSE 713 : 0.1496454 


s: 714 
logit 714 : -0.3545575 
logit mean 714 : -0.4142883 
logit RMSE 714 : 0.0575673 

boosting 714 : -0.4934007 
boosting mean 714 : -0.4751957 
boosting RMSE 714 : 0.1314416 

forest 714 : -0.4317846 
forest mean 714 : -0.3741578 
forest RMSE 714 : 0.05489888 

nnet 714 : -0.391969 
nnet mean 714 : -0.4173483 
nnet RMSE 714 : 0.1495409 


s: 715 
logit 715 : -0.3274834 
logit mean 715 : -0.4141669 
logit RMSE 715 : 0.05759092 

boosting 715 : -0.4426434 
boosting mean 715 : -0.4751501 
boosting RMSE 715 : 0.1313594 

forest 715 : -0.3664993 
forest mean 715 : -0.3741471 
forest RMSE 715 : 0.05487478 

nnet 715 : -0.6697032 
nnet mean 715 : -0.4177012 
nnet RMSE 715 : 0.1497763 


s: 716 
logit 716 : -0.4433637 
logit mean 716 : -0.4142077 
logit RMSE 716 : 0.0575735 

boosting 716 : -0.3684384 
boosting mean 716 : -0.4750011 
boosting RMSE 716 : 0.1312729 

forest 716 : -0.4290515 
forest mean 716 : -0.3742238 
forest RMSE 716 : 0.05484719 

nnet 716 : -0.4564779 
nnet mean 716 : -0.4177554 
nnet RMSE 716 : 0.1496866 


s: 717 
logit 717 : -0.3602619 
logit mean 717 : -0.4141325 
logit RMSE 717 : 0.05755247 

boosting 717 : -0.5404874 
boosting mean 717 : -0.4750924 
boosting RMSE 717 : 0.1312862 

forest 717 : -0.4628173 
forest mean 717 : -0.3743473 
forest RMSE 717 : 0.05485911 

nnet 717 : -0.5876401 
nnet mean 717 : -0.4179923 
nnet RMSE 717 : 0.1497462 


s: 718 
logit 718 : -0.4158971 
logit mean 718 : -0.4141349 
logit RMSE 718 : 0.05751544 

boosting 718 : -0.2811506 
boosting mean 718 : -0.4748223 
boosting RMSE 718 : 0.1312697 

forest 718 : -0.4062559 
forest mean 718 : -0.3743918 
forest RMSE 718 : 0.0548214 

nnet 718 : -0.6100858 
nnet mean 718 : -0.4182599 
nnet RMSE 718 : 0.1498471 


s: 719 
logit 719 : -0.4897005 
logit mean 719 : -0.41424 
logit RMSE 719 : 0.0575727 

boosting 719 : -0.5694978 
boosting mean 719 : -0.474954 
boosting RMSE 719 : 0.1313306 

forest 719 : -0.3865416 
forest mean 719 : -0.3744087 
forest RMSE 719 : 0.05478556 

nnet 719 : -0.3695910 
nnet mean 719 : -0.4181922 
nnet RMSE 719 : 0.1497472 


s: 720 
logit 720 : -0.3921353 
logit mean 720 : -0.4142093 
logit RMSE 720 : 0.05753345 

boosting 720 : -0.3722508 
boosting mean 720 : -0.4748114 
boosting RMSE 720 : 0.1312434 

forest 720 : -0.4257556 
forest mean 720 : -0.37448 
forest RMSE 720 : 0.05475591 

nnet 720 : -0.2870174 
nnet mean 720 : -0.41801 
nnet RMSE 720 : 0.1497024 


s: 721 
logit 721 : -0.3546712 
logit mean 721 : -0.4141268 
logit RMSE 721 : 0.05751832 

boosting 721 : -0.3095172 
boosting mean 721 : -0.4745821 
boosting RMSE 721 : 0.1311957 

forest 721 : -0.4462496 
forest mean 721 : -0.3745795 
forest RMSE 721 : 0.05474503 

nnet 721 : -0.331875 
nnet mean 721 : -0.4178905 
nnet RMSE 721 : 0.1496200 


s: 722 
logit 722 : -0.4281464 
logit mean 722 : -0.4141462 
logit RMSE 722 : 0.05748801 

boosting 722 : -0.5387297 
boosting mean 722 : -0.4746709 
boosting RMSE 722 : 0.1312064 

forest 722 : -0.3457529 
forest mean 722 : -0.3745396 
forest RMSE 722 : 0.05474434 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 722 : -0.1863581 
nnet mean 722 : -0.4175698 
nnet RMSE 722 : 0.1497276 


s: 723 
logit 723 : -0.4852141 
logit mean 723 : -0.4142445 
logit RMSE 723 : 0.05753559 

boosting 723 : -0.4352997 
boosting mean 723 : -0.4746165 
boosting RMSE 723 : 0.1311222 

forest 723 : -0.3683167 
forest mean 723 : -0.374531 
forest RMSE 723 : 0.05471916 

nnet 723 : -0.3711327 
nnet mean 723 : -0.4175056 
nnet RMSE 723 : 0.1496279 


s: 724 
logit 724 : -0.4008042 
logit mean 724 : -0.4142259 
logit RMSE 724 : 0.05749585 

boosting 724 : -0.3503682 
boosting mean 724 : -0.4744449 
boosting RMSE 724 : 0.1310446 

forest 724 : -0.4386173 
forest mean 724 : -0.3746195 
forest RMSE 724 : 0.05470019 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 724 : -0.3051371 
nnet mean 724 : -0.4173504 
nnet RMSE 724 : 0.1495661 


s: 725 
logit 725 : -0.4524399 
logit mean 725 : -0.4142786 
logit RMSE 725 : 0.05748918 

boosting 725 : -0.6696786 
boosting mean 725 : -0.4747142 
boosting RMSE 725 : 0.1313366 

forest 725 : -0.4416373 
forest mean 725 : -0.374712 
forest RMSE 725 : 0.05468432 

nnet 725 : -0.552144 
nnet mean 725 : -0.4175363 
nnet RMSE 725 : 0.1495697 


s: 726 
logit 726 : -0.415268 
logit mean 726 : -0.41428 
logit RMSE 726 : 0.05745237 

boosting 726 : -0.5637587 
boosting mean 726 : -0.4748368 
boosting RMSE 726 : 0.1313868 

forest 726 : -0.4462814 
forest mean 726 : -0.3748105 
forest RMSE 726 : 0.05467363 

nnet 726 : -0.3154768 
nnet mean 726 : -0.4173957 
nnet RMSE 726 : 0.1494996 


s: 727 
logit 727 : -0.4236415 
logit mean 727 : -0.4142929 
logit RMSE 727 : 0.05741954 

boosting 727 : -0.6063604 
boosting mean 727 : -0.4750177 
boosting RMSE 727 : 0.1315193 

forest 727 : -0.4908823 
forest mean 727 : -0.3749702 
forest RMSE 727 : 0.05473989 

nnet 727 : -0.3280908 
nnet mean 727 : -0.4172729 
nnet RMSE 727 : 0.1494205 


s: 728 
logit 728 : -0.3885754 
logit mean 728 : -0.4142575 
logit RMSE 728 : 0.05738165 

boosting 728 : -0.3517306 
boosting mean 728 : -0.4748484 
boosting RMSE 728 : 0.1314411 

forest 728 : -0.3939726 
forest mean 728 : -0.3749963 
forest RMSE 728 : 0.05470274 

nnet 728 : -0.8343795 
nnet mean 728 : -0.4178458 
nnet RMSE 728 : 0.1501832 


s: 729 
logit 729 : -0.4306995 
logit mean 729 : -0.4142801 
logit RMSE 729 : 0.05735355 

boosting 729 : -0.4837923 
boosting mean 729 : -0.4748606 
boosting RMSE 729 : 0.1313876 

forest 729 : -0.3243669 
forest mean 729 : -0.3749269 
forest RMSE 729 : 0.05473693 

nnet 729 : -0.2963194 
nnet mean 729 : -0.4176791 
nnet RMSE 729 : 0.1501293 


s: 730 
logit 730 : -0.4007628 
logit mean 730 : -0.4142616 
logit RMSE 730 : 0.05731426 

boosting 730 : -0.5465309 
boosting mean 730 : -0.4749588 
boosting RMSE 730 : 0.1314095 

forest 730 : -0.3697446 
forest mean 730 : -0.3749198 
forest RMSE 730 : 0.05471089 

nnet 730 : -0.6125702 
nnet mean 730 : -0.4179461 
nnet RMSE 730 : 0.1502326 


s: 731 
logit 731 : -0.3495873 
logit mean 731 : -0.4141731 
logit RMSE 731 : 0.05730539 

boosting 731 : -0.6191991 
boosting mean 731 : -0.4751561 
boosting RMSE 731 : 0.1315696 

forest 731 : -0.4342780 
forest mean 731 : -0.3750010 
forest RMSE 731 : 0.05468815 

nnet 731 : -0.4754541 
nnet mean 731 : -0.4180248 
nnet RMSE 731 : 0.1501557 


s: 732 
logit 732 : -0.3782655 
logit mean 732 : -0.414124 
logit RMSE 732 : 0.05727187 

boosting 732 : -0.5026714 
boosting mean 732 : -0.4751937 
boosting RMSE 732 : 0.1315345 

forest 732 : -0.3504353 
forest mean 732 : -0.3749674 
forest RMSE 732 : 0.05468148 

nnet 732 : -0.1986473 
nnet mean 732 : -0.4177251 
nnet RMSE 732 : 0.1502376 


s: 733 
logit 733 : -0.4103657 
logit mean 733 : -0.4141189 
logit RMSE 733 : 0.05723407 

boosting 733 : -0.6549564 
boosting mean 733 : -0.475439 
boosting RMSE 733 : 0.1317816 

forest 733 : -0.3413447 
forest mean 733 : -0.3749215 
forest RMSE 733 : 0.0546871 

nnet 733 : -0.4957145 
nnet mean 733 : -0.4178315 
nnet RMSE 733 : 0.1501767 


s: 734 
logit 734 : -0.3756889 
logit mean 734 : -0.4140666 
logit RMSE 734 : 0.05720211 

boosting 734 : -0.3857541 
boosting mean 734 : -0.4753168 
boosting RMSE 734 : 0.1316929 

forest 734 : -0.4265389 
forest mean 734 : -0.3749919 
forest RMSE 734 : 0.05465861 

nnet 734 : -0.4891504 
nnet mean 734 : -0.4179287 
nnet RMSE 734 : 0.1501104 


s: 735 
logit 735 : -0.4541973 
logit mean 735 : -0.4141212 
logit RMSE 735 : 0.05719813 

boosting 735 : -0.3763043 
boosting mean 735 : -0.4751821 
boosting RMSE 735 : 0.1316062 

forest 735 : -0.3694739 
forest mean 735 : -0.3749843 
forest RMSE 735 : 0.05463302 

nnet 735 : -0.1436318 
nnet mean 735 : -0.4175555 
nnet RMSE 735 : 0.1503060 


s: 736 
logit 736 : -0.4085062 
logit mean 736 : -0.4141135 
logit RMSE 736 : 0.05716011 

boosting 736 : -0.4943923 
boosting mean 736 : -0.4752082 
boosting RMSE 736 : 0.1315627 

forest 736 : -0.3976332 
forest mean 736 : -0.3750151 
forest RMSE 736 : 0.05459596 

nnet 736 : -0.214753 
nnet mean 736 : -0.4172799 
nnet RMSE 736 : 0.150359 


s: 737 
logit 737 : -0.3184243 
logit mean 737 : -0.4139837 
logit RMSE 737 : 0.0572003 

boosting 737 : -0.5299008 
boosting mean 737 : -0.4752824 
boosting RMSE 737 : 0.1315605 

forest 737 : -0.3015940 
forest mean 737 : -0.3749155 
forest RMSE 737 : 0.05467919 

nnet 737 : -0.298368 
nnet mean 737 : -0.4171186 
nnet RMSE 737 : 0.1503036 


s: 738 
logit 738 : -0.4308104 
logit mean 738 : -0.4140065 
logit RMSE 738 : 0.05717279 

boosting 738 : -0.4559748 
boosting mean 738 : -0.4752562 
boosting RMSE 738 : 0.1314875 

forest 738 : -0.5257836 
forest mean 738 : -0.3751199 
forest RMSE 738 : 0.05483795 

nnet 738 : -0.4149924 
nnet mean 738 : -0.4171157 
nnet RMSE 738 : 0.1502027 


s: 739 
logit 739 : -0.399519 
logit mean 739 : -0.4139869 
logit RMSE 739 : 0.0571341 

boosting 739 : -0.4510911 
boosting mean 739 : -0.4752235 
boosting RMSE 739 : 0.1314119 

forest 739 : -0.4081053 
forest mean 739 : -0.3751646 
forest RMSE 739 : 0.05480165 

nnet 739 : -0.611266 
nnet mean 739 : -0.4173784 
nnet RMSE 739 : 0.1503021 


s: 740 
logit 740 : -0.4384213 
logit mean 740 : -0.4140199 
logit RMSE 740 : 0.05711294 

boosting 740 : -0.4313142 
boosting mean 740 : -0.4751642 
boosting RMSE 740 : 0.1313282 

forest 740 : -0.4457364 
forest mean 740 : -0.3752599 
forest RMSE 740 : 0.05479041 

nnet 740 : -0.4137227 
nnet mean 740 : -0.4173735 
nnet RMSE 740 : 0.1502014 


s: 741 
logit 741 : -0.4581033 
logit mean 741 : -0.4140794 
logit RMSE 741 : 0.05711429 

boosting 741 : -0.4926133 
boosting mean 741 : -0.4751877 
boosting RMSE 741 : 0.1312836 

forest 741 : -0.3645819 
forest mean 741 : -0.3752455 
forest RMSE 741 : 0.05476889 

nnet 741 : -0.5516486 
nnet mean 741 : -0.4175547 
nnet RMSE 741 : 0.1502034 


s: 742 
logit 742 : -0.3131796 
logit mean 742 : -0.4139434 
logit RMSE 742 : 0.05716472 

boosting 742 : -0.5292916 
boosting mean 742 : -0.4752607 
boosting RMSE 742 : 0.1312809 

forest 742 : -0.3492398 
forest mean 742 : -0.3752105 
forest RMSE 742 : 0.05476368 

nnet 742 : -0.3823006 
nnet mean 742 : -0.4175072 
nnet RMSE 742 : 0.1501035 


s: 743 
logit 743 : -0.4444557 
logit mean 743 : -0.4139845 
logit RMSE 743 : 0.05714951 

boosting 743 : -0.4097481 
boosting mean 743 : -0.4751725 
boosting RMSE 743 : 0.1311930 

forest 743 : -0.4285019 
forest mean 743 : -0.3752822 
forest RMSE 743 : 0.0547368 

nnet 743 : -0.07115438 
nnet mean 743 : -0.417041 
nnet RMSE 743 : 0.1504868 


s: 744 
logit 744 : -0.359357 
logit mean 744 : -0.4139111 
logit RMSE 744 : 0.05713053 

boosting 744 : -0.436462 
boosting mean 744 : -0.4751205 
boosting RMSE 744 : 0.1311117 

forest 744 : -0.3762895 
forest mean 744 : -0.3752835 
forest RMSE 744 : 0.05470691 

nnet 744 : -0.5101948 
nnet mean 744 : -0.4171662 
nnet RMSE 744 : 0.1504399 


s: 745 
logit 745 : -0.3600092 
logit mean 745 : -0.4138387 
logit RMSE 745 : 0.05711097 

boosting 745 : -0.6659648 
boosting mean 745 : -0.4753766 
boosting RMSE 745 : 0.1313855 

forest 745 : -0.3343270 
forest mean 745 : -0.3752286 
forest RMSE 745 : 0.0547231 

nnet 745 : -0.3482744 
nnet mean 745 : -0.4170737 
nnet RMSE 745 : 0.1503509 


s: 746 
logit 746 : -0.3830388 
logit mean 746 : -0.4137974 
logit RMSE 746 : 0.05707605 

boosting 746 : -0.3625289 
boosting mean 746 : -0.4752253 
boosting RMSE 746 : 0.1313046 

forest 746 : -0.3080701 
forest mean 746 : -0.3751385 
forest RMSE 746 : 0.0547899 

nnet 746 : -0.1813315 
nnet mean 746 : -0.4167577 
nnet RMSE 746 : 0.1504632 


s: 747 
logit 747 : -0.4422787 
logit mean 747 : -0.4138355 
logit RMSE 747 : 0.05705881 

boosting 747 : -0.3605345 
boosting mean 747 : -0.4750718 
boosting RMSE 747 : 0.1312246 

forest 747 : -0.3947197 
forest mean 747 : -0.3751648 
forest RMSE 747 : 0.05475355 

nnet 747 : -0.5890922 
nnet mean 747 : -0.4169884 
nnet RMSE 747 : 0.1505215 


s: 748 
logit 748 : -0.3885567 
logit mean 748 : -0.4138018 
logit RMSE 748 : 0.05702219 

boosting 748 : -0.4422067 
boosting mean 748 : -0.4750279 
boosting RMSE 748 : 0.1311459 

forest 748 : -0.3304624 
forest mean 748 : -0.375105 
forest RMSE 748 : 0.05477598 

nnet 748 : -0.5317126 
nnet mean 748 : -0.4171418 
nnet RMSE 748 : 0.1504980 


s: 749 
logit 749 : -0.4166576 
logit mean 749 : -0.4138056 
logit RMSE 749 : 0.05698736 

boosting 749 : -0.4090441 
boosting mean 749 : -0.4749398 
boosting RMSE 749 : 0.1310588 

forest 749 : -0.3645013 
forest mean 749 : -0.3750908 
forest RMSE 749 : 0.05475477 

nnet 749 : -0.3984516 
nnet mean 749 : -0.4171169 
nnet RMSE 749 : 0.1503975 


s: 750 
logit 750 : -0.447525 
logit mean 750 : -0.4138505 
logit RMSE 750 : 0.05697579 

boosting 750 : -0.5572168 
boosting mean 750 : -0.4750495 
boosting RMSE 750 : 0.1310971 

forest 750 : -0.3421304 
forest mean 750 : -0.3750469 
forest RMSE 750 : 0.05475904 

nnet 750 : -0.5426847 
nnet mean 750 : -0.4172843 
nnet RMSE 750 : 0.1503875 


s: 751 
logit 751 : -0.4277912 
logit mean 751 : -0.4138691 
logit RMSE 751 : 0.05694688 

boosting 751 : -0.4164949 
boosting mean 751 : -0.4749715 
boosting RMSE 751 : 0.1310112 

forest 751 : -0.2852558 
forest mean 751 : -0.3749273 
forest RMSE 751 : 0.05488252 

nnet 751 : -0.3833036 
nnet mean 751 : -0.417239 
nnet RMSE 751 : 0.1502885 


s: 752 
logit 752 : -0.4901148 
logit mean 752 : -0.4139705 
logit RMSE 752 : 0.0570038 

boosting 752 : -0.5379525 
boosting mean 752 : -0.4750553 
boosting RMSE 752 : 0.1310207 

forest 752 : -0.3991404 
forest mean 752 : -0.3749595 
forest RMSE 752 : 0.05484603 

nnet 752 : -0.5096543 
nnet mean 752 : -0.4173619 
nnet RMSE 752 : 0.1502418 


s: 753 
logit 753 : -0.5107609 
logit mean 753 : -0.414099 
logit RMSE 753 : 0.05710876 

boosting 753 : -0.396685 
boosting mean 753 : -0.4749512 
boosting RMSE 753 : 0.1309337 

forest 753 : -0.3986728 
forest mean 753 : -0.374991 
forest RMSE 753 : 0.05480962 

nnet 753 : -0.3659083 
nnet mean 753 : -0.4172936 
nnet RMSE 753 : 0.1501471 


s: 754 
logit 754 : -0.3376174 
logit mean 754 : -0.4139976 
logit RMSE 754 : 0.05711607 

boosting 754 : -0.5351934 
boosting mean 754 : -0.4750311 
boosting RMSE 754 : 0.1309394 

forest 754 : -0.3807523 
forest mean 754 : -0.3749987 
forest RMSE 754 : 0.05477774 

nnet 754 : -0.4650973 
nnet mean 754 : -0.417357 
nnet RMSE 754 : 0.1500663 


s: 755 
logit 755 : -0.4423073 
logit mean 755 : -0.4140351 
logit RMSE 755 : 0.057099 

boosting 755 : -0.6220772 
boosting mean 755 : -0.4752258 
boosting RMSE 755 : 0.1311020 

forest 755 : -0.311477 
forest mean 755 : -0.3749145 
forest RMSE 755 : 0.05483618 

nnet 755 : -0.4556275 
nnet mean 755 : -0.4174077 
nnet RMSE 755 : 0.1499805 


s: 756 
logit 756 : -0.4430074 
logit mean 756 : -0.4140734 
logit RMSE 756 : 0.05708266 

boosting 756 : -0.3738262 
boosting mean 756 : -0.4750917 
boosting RMSE 756 : 0.1310188 

forest 756 : -0.4023072 
forest mean 756 : -0.3749508 
forest RMSE 756 : 0.05479996 

nnet 756 : -0.3418102 
nnet mean 756 : -0.4173077 
nnet RMSE 756 : 0.1498962 


s: 757 
logit 757 : -0.4300354 
logit mean 757 : -0.4140945 
logit RMSE 757 : 0.05705539 

boosting 757 : -0.4741146 
boosting mean 757 : -0.4750904 
boosting RMSE 757 : 0.1309599 

forest 757 : -0.3424208 
forest mean 757 : -0.3749078 
forest RMSE 757 : 0.05480372 

nnet 757 : -0.5049581 
nnet mean 757 : -0.4174235 
nnet RMSE 757 : 0.1498458 


s: 758 
logit 758 : -0.3798091 
logit mean 758 : -0.4140493 
logit RMSE 758 : 0.05702246 

boosting 758 : -0.2651131 
boosting mean 758 : -0.4748134 
boosting RMSE 758 : 0.1309652 

forest 758 : -0.3233196 
forest mean 758 : -0.3748397 
forest RMSE 758 : 0.05483834 

nnet 758 : -0.2917566 
nnet mean 758 : -0.4172577 
nnet RMSE 758 : 0.1497985 


s: 759 
logit 759 : -0.3329941 
logit mean 759 : -0.4139425 
logit RMSE 759 : 0.05703676 

boosting 759 : -0.2406820 
boosting mean 759 : -0.4745049 
boosting RMSE 759 : 0.1310066 

forest 759 : -0.3665756 
forest mean 759 : -0.3748288 
forest RMSE 759 : 0.05481563 

nnet 759 : -0.399523 
nnet mean 759 : -0.4172343 
nnet RMSE 759 : 0.1496998 


s: 760 
logit 760 : -0.4333674 
logit mean 760 : -0.413968 
logit RMSE 760 : 0.05701207 

boosting 760 : -0.605062 
boosting mean 760 : -0.4746767 
boosting RMSE 760 : 0.1311315 

forest 760 : -0.4047834 
forest mean 760 : -0.3748683 
forest RMSE 760 : 0.05477983 

nnet 760 : -0.2568861 
nnet mean 760 : -0.4170233 
nnet RMSE 760 : 0.1496913 


s: 761 
logit 761 : -0.3495347 
logit mean 761 : -0.4138834 
logit RMSE 761 : 0.05700396 

boosting 761 : -0.5587235 
boosting mean 761 : -0.4747872 
boosting RMSE 761 : 0.1311715 

forest 761 : -0.3674892 
forest mean 761 : -0.3748586 
forest RMSE 761 : 0.05475651 

nnet 761 : -0.543788 
nnet mean 761 : -0.4171899 
nnet RMSE 761 : 0.1496837 


s: 762 
logit 762 : -0.3822767 
logit mean 762 : -0.4138419 
logit RMSE 762 : 0.05697016 

boosting 762 : -0.5216332 
boosting mean 762 : -0.4748486 
boosting RMSE 762 : 0.1311595 

forest 762 : -0.3305965 
forest mean 762 : -0.3748005 
forest RMSE 762 : 0.05477829 

nnet 762 : -0.4670713 
nnet mean 762 : -0.4172554 
nnet RMSE 762 : 0.1496052 


s: 763 
logit 763 : -0.4747632 
logit mean 763 : -0.4139217 
logit RMSE 763 : 0.05699712 

boosting 763 : -0.5603624 
boosting mean 763 : -0.4749607 
boosting RMSE 763 : 0.131202 

forest 763 : -0.3820499 
forest mean 763 : -0.37481 
forest RMSE 763 : 0.05474624 

nnet 763 : -0.4576754 
nnet mean 763 : -0.4173083 
nnet RMSE 763 : 0.1495217 


s: 764 
logit 764 : -0.4580675 
logit mean 764 : -0.4139795 
logit RMSE 764 : 0.05699853 

boosting 764 : -0.4831482 
boosting mean 764 : -0.4749714 
boosting RMSE 764 : 0.1311506 

forest 764 : -0.3521835 
forest mean 764 : -0.3747804 
forest RMSE 764 : 0.05473775 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 764 : -0.2046175 
nnet mean 764 : -0.4170300 
nnet RMSE 764 : 0.1495909 


s: 765 
logit 765 : -0.4852112 
logit mean 765 : -0.4140726 
logit RMSE 765 : 0.05704452 

boosting 765 : -0.4216752 
boosting mean 765 : -0.4749018 
boosting RMSE 765 : 0.1310672 

forest 765 : -0.2973747 
forest mean 765 : -0.3746792 
forest RMSE 765 : 0.05482765 

nnet 765 : -0.2579725 
nnet mean 765 : -0.416822 
nnet RMSE 765 : 0.1495813 


s: 766 
logit 766 : -0.3889846 
logit mean 766 : -0.4140399 
logit RMSE 766 : 0.05700866 

boosting 766 : -0.5785413 
boosting mean 766 : -0.4750371 
boosting RMSE 766 : 0.1311404 

forest 766 : -0.3970283 
forest mean 766 : -0.3747084 
forest RMSE 766 : 0.05479196 

nnet 766 : -0.4528919 
nnet mean 766 : -0.4168691 
nnet RMSE 766 : 0.1494958 


s: 767 
logit 767 : -0.3709904 
logit mean 767 : -0.4139837 
logit RMSE 767 : 0.05698112 

boosting 767 : -0.4696646 
boosting mean 767 : -0.4750301 
boosting RMSE 767 : 0.1310790 

forest 767 : -0.3353629 
forest mean 767 : -0.3746571 
forest RMSE 767 : 0.05480594 

nnet 767 : -0.4185805 
nnet mean 767 : -0.4168714 
nnet RMSE 767 : 0.1493998 


s: 768 
logit 768 : -0.4205920 
logit mean 768 : -0.4139923 
logit RMSE 768 : 0.05694885 

boosting 768 : -0.305385 
boosting mean 768 : -0.4748092 
boosting RMSE 768 : 0.1310381 

forest 768 : -0.3807635 
forest mean 768 : -0.374665 
forest RMSE 768 : 0.05477465 

nnet 768 : -0.3811797 
nnet mean 768 : -0.4168249 
nnet RMSE 768 : 0.1493041 


s: 769 
logit 769 : -0.4354373 
logit mean 769 : -0.4140202 
logit RMSE 769 : 0.05692616 

boosting 769 : -0.4042453 
boosting mean 769 : -0.4747174 
boosting RMSE 769 : 0.130953 

forest 769 : -0.3881026 
forest mean 769 : -0.3746825 
forest RMSE 769 : 0.05474071 

nnet 769 : -0.2672304 
nnet mean 769 : -0.4166304 
nnet RMSE 769 : 0.1492838 


s: 770 
logit 770 : -0.3914684 
logit mean 770 : -0.4139909 
logit RMSE 770 : 0.05689001 

boosting 770 : -0.6019248 
boosting mean 770 : -0.4748826 
boosting RMSE 770 : 0.1310701 

forest 770 : -0.4648448 
forest mean 770 : -0.3747996 
forest RMSE 770 : 0.05475504 

nnet 770 : -0.4575872 
nnet mean 770 : -0.4166835 
nnet RMSE 770 : 0.1492012 


s: 771 
logit 771 : -0.3979146 
logit mean 771 : -0.4139701 
logit RMSE 771 : 0.05685316 

boosting 771 : -0.643542 
boosting mean 771 : -0.4751014 
boosting RMSE 771 : 0.1312784 

forest 771 : -0.4665611 
forest mean 771 : -0.3749186 
forest RMSE 771 : 0.054772 

nnet 771 : -0.4558838 
nnet mean 771 : -0.4167344 
nnet RMSE 771 : 0.1491180 


s: 772 
logit 772 : -0.4131719 
logit mean 772 : -0.4139691 
logit RMSE 772 : 0.0568183 

boosting 772 : -0.5651374 
boosting mean 772 : -0.475218 
boosting RMSE 772 : 0.1313279 

forest 772 : -0.4706176 
forest mean 772 : -0.3750426 
forest RMSE 772 : 0.05479549 

nnet 772 : -0.1495762 
nnet mean 772 : -0.4163883 
nnet RMSE 772 : 0.1492937 


s: 773 
logit 773 : -0.4510052 
logit mean 773 : -0.414017 
logit RMSE 773 : 0.05681117 

boosting 773 : -0.5279492 
boosting mean 773 : -0.4752862 
boosting RMSE 773 : 0.1313236 

forest 773 : -0.3459686 
forest mean 773 : -0.3750049 
forest RMSE 773 : 0.05479451 

nnet 773 : -0.3151693 
nnet mean 773 : -0.4162574 
nnet RMSE 773 : 0.1492283 


s: 774 
logit 774 : -0.3335455 
logit mean 774 : -0.413913 
logit RMSE 774 : 0.05682468 

boosting 774 : -0.3682757 
boosting mean 774 : -0.475148 
boosting RMSE 774 : 0.1312437 

forest 774 : -0.345332 
forest mean 774 : -0.3749666 
forest RMSE 774 : 0.05479434 

nnet 774 : -0.5039704 
nnet mean 774 : -0.4163707 
nnet RMSE 774 : 0.1491787 


s: 775 
logit 775 : -0.3448393 
logit mean 775 : -0.4138239 
logit RMSE 775 : 0.05682256 

boosting 775 : -0.4940411 
boosting mean 775 : -0.4751723 
boosting RMSE 775 : 0.1312025 

forest 775 : -0.2804297 
forest mean 775 : -0.3748446 
forest RMSE 775 : 0.05492717 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 775 : -0.2529966 
nnet mean 775 : -0.4161599 
nnet RMSE 775 : 0.1491759 


s: 776 
logit 776 : -0.3526271 
logit mean 776 : -0.413745 
logit RMSE 776 : 0.0568114 

boosting 776 : -0.4356589 
boosting mean 776 : -0.4751214 
boosting RMSE 776 : 0.1311242 

forest 776 : -0.3892804 
forest mean 776 : -0.3748632 
forest RMSE 776 : 0.05489311 

nnet 776 : -0.5641084 
nnet mean 776 : -0.4163506 
nnet RMSE 776 : 0.1491961 


s: 777 
logit 777 : -0.4146484 
logit mean 777 : -0.4137462 
logit RMSE 777 : 0.05677726 

boosting 777 : -0.5800866 
boosting mean 777 : -0.4752565 
boosting RMSE 777 : 0.1311989 

forest 777 : -0.3879435 
forest mean 777 : -0.3748801 
forest RMSE 777 : 0.05485948 

nnet 777 : -0.2291508 
nnet mean 777 : -0.4161096 
nnet RMSE 777 : 0.149226 


s: 778 
logit 778 : -0.4224631 
logit mean 778 : -0.4137574 
logit RMSE 778 : 0.05674647 

boosting 778 : -0.4732976 
boosting mean 778 : -0.475254 
boosting RMSE 778 : 0.1311409 

forest 778 : -0.3816619 
forest mean 778 : -0.3748888 
forest RMSE 778 : 0.05482816 

nnet 778 : -0.4642312 
nnet mean 778 : -0.4161715 
nnet RMSE 778 : 0.1491478 


s: 779 
logit 779 : -0.4864199 
logit mean 779 : -0.4138507 
logit RMSE 779 : 0.0567945 

boosting 779 : -0.5336644 
boosting mean 779 : -0.475329 
boosting RMSE 779 : 0.1311442 

forest 779 : -0.4101232 
forest mean 779 : -0.374934 
forest RMSE 779 : 0.05479416 

nnet 779 : -0.5306156 
nnet mean 779 : -0.4163184 
nnet RMSE 779 : 0.1491255 


s: 780 
logit 780 : -0.4557397 
logit mean 780 : -0.4139044 
logit RMSE 780 : 0.05679317 

boosting 780 : -0.4844689 
boosting mean 780 : -0.4753407 
boosting RMSE 780 : 0.1310950 

forest 780 : -0.3604529 
forest mean 780 : -0.3749154 
forest RMSE 780 : 0.05477733 

nnet 780 : -0.2609265 
nnet mean 780 : -0.4161192 
nnet RMSE 780 : 0.1491131 


s: 781 
logit 781 : -0.4498619 
logit mean 781 : -0.4139504 
logit RMSE 781 : 0.05678483 

boosting 781 : -0.5926958 
boosting mean 781 : -0.4754910 
boosting RMSE 781 : 0.1311923 

forest 781 : -0.4867431 
forest mean 781 : -0.3750586 
forest RMSE 781 : 0.05483017 

nnet 781 : -0.730791 
nnet mean 781 : -0.4165221 
nnet RMSE 781 : 0.1494869 


s: 782 
logit 782 : -0.2929481 
logit mean 782 : -0.4137957 
logit RMSE 782 : 0.05687749 

boosting 782 : -0.5452054 
boosting mean 782 : -0.4755801 
boosting RMSE 782 : 0.1312112 

forest 782 : -0.4141074 
forest mean 782 : -0.3751086 
forest RMSE 782 : 0.05479742 

nnet 782 : -0.3825732 
nnet mean 782 : -0.4164787 
nnet RMSE 782 : 0.1493926 


s: 783 
logit 783 : -0.3757144 
logit mean 783 : -0.413747 
logit RMSE 783 : 0.05684778 

boosting 783 : -0.5596042 
boosting mean 783 : -0.4756874 
boosting RMSE 783 : 0.1312514 

forest 783 : -0.3655131 
forest mean 783 : -0.3750963 
forest RMSE 783 : 0.05477629 

nnet 783 : -0.4244344 
nnet mean 783 : -0.4164888 
nnet RMSE 783 : 0.1492998 


s: 784 
logit 784 : -0.3743166 
logit mean 784 : -0.4136967 
logit RMSE 784 : 0.05681892 

boosting 784 : -0.4367201 
boosting mean 784 : -0.4756377 
boosting RMSE 784 : 0.1311742 

forest 784 : -0.3909875 
forest mean 784 : -0.3751166 
forest RMSE 784 : 0.05474229 

nnet 784 : -0.2274322 
nnet mean 784 : -0.4162477 
nnet RMSE 784 : 0.1493318 


s: 785 
logit 785 : -0.3808425 
logit mean 785 : -0.4136549 
logit RMSE 785 : 0.05678683 

boosting 785 : -0.4273719 
boosting mean 785 : -0.4755762 
boosting RMSE 785 : 0.1310943 

forest 785 : -0.3948692 
forest mean 785 : -0.3751417 
forest RMSE 785 : 0.05470772 

nnet 785 : -0.3424894 
nnet mean 785 : -0.4161537 
nnet RMSE 785 : 0.1492507 


s: 786 
logit 786 : -0.4515225 
logit mean 786 : -0.4137031 
logit RMSE 786 : 0.05678045 

boosting 786 : -0.3275553 
boosting mean 786 : -0.4753879 
boosting RMSE 786 : 0.1310363 

forest 786 : -0.3448381 
forest mean 786 : -0.3751032 
forest RMSE 786 : 0.0547083 

nnet 786 : -0.4925958 
nnet mean 786 : -0.416251 
nnet RMSE 786 : 0.1491923 


s: 787 
logit 787 : -0.4485419 
logit mean 787 : -0.4137473 
logit RMSE 787 : 0.05677074 

boosting 787 : -0.5053725 
boosting mean 787 : -0.475426 
boosting RMSE 787 : 0.1310069 

forest 787 : -0.4444436 
forest mean 787 : -0.3751913 
forest RMSE 787 : 0.05469648 

nnet 787 : -0.3700242 
nnet mean 787 : -0.4161922 
nnet RMSE 787 : 0.1491013 


s: 788 
logit 788 : -0.5220208 
logit mean 788 : -0.4138847 
logit RMSE 788 : 0.05690098 

boosting 788 : -0.782903 
boosting mean 788 : -0.4758162 
boosting RMSE 788 : 0.1316324 

forest 788 : -0.3824194 
forest mean 788 : -0.3752005 
forest RMSE 788 : 0.05466535 

nnet 788 : -0.3927507 
nnet mean 788 : -0.4161625 
nnet RMSE 788 : 0.1490069 


s: 789 
logit 789 : -0.4343492 
logit mean 789 : -0.4139107 
logit RMSE 789 : 0.05687805 

boosting 789 : -0.4715874 
boosting mean 789 : -0.4758108 
boosting RMSE 789 : 0.1315737 

forest 789 : -0.3473236 
forest mean 789 : -0.3751651 
forest RMSE 789 : 0.05466287 

nnet 789 : -0.50596 
nnet mean 789 : -0.4162763 
nnet RMSE 789 : 0.1489602 


s: 790 
logit 790 : -0.501221 
logit mean 790 : -0.4140212 
logit RMSE 790 : 0.05695601 

boosting 790 : -0.5303588 
boosting mean 790 : -0.4758799 
boosting RMSE 790 : 0.1315721 

forest 790 : -0.3637921 
forest mean 790 : -0.3751507 
forest RMSE 790 : 0.05464345 

nnet 790 : -0.446951 
nnet mean 790 : -0.4163151 
nnet RMSE 790 : 0.1488753 


s: 791 
logit 791 : -0.4466504 
logit mean 791 : -0.4140624 
logit RMSE 791 : 0.05694416 

boosting 791 : -0.2893716 
boosting mean 791 : -0.4756441 
boosting RMSE 791 : 0.1315478 

forest 791 : -0.4264679 
forest mean 791 : -0.3752156 
forest RMSE 791 : 0.05461701 

nnet 791 : -0.4162489 
nnet mean 791 : -0.4163151 
nnet RMSE 791 : 0.1487823 


s: 792 
logit 792 : -0.4669067 
logit mean 792 : -0.4141292 
logit RMSE 792 : 0.05695784 

boosting 792 : -0.5611501 
boosting mean 792 : -0.4757521 
boosting RMSE 792 : 0.1315893 

forest 792 : -0.3699863 
forest mean 792 : -0.375209 
forest RMSE 792 : 0.05459294 

nnet 792 : -0.5517914 
nnet mean 792 : -0.4164861 
nnet RMSE 792 : 0.1487861 


s: 793 
logit 793 : -0.4412636 
logit mean 793 : -0.4141634 
logit RMSE 793 : 0.05694077 

boosting 793 : -0.5577092 
boosting mean 793 : -0.4758554 
boosting RMSE 793 : 0.1316255 

forest 793 : -0.438276 
forest mean 793 : -0.3752885 
forest RMSE 793 : 0.05457543 

nnet 793 : -0.2958404 
nnet mean 793 : -0.416334 
nnet RMSE 793 : 0.1487383 


s: 794 
logit 794 : -0.5204304 
logit mean 794 : -0.4142972 
logit RMSE 794 : 0.05706518 

boosting 794 : -0.501597 
boosting mean 794 : -0.4758878 
boosting RMSE 794 : 0.1315920 

forest 794 : -0.3664871 
forest mean 794 : -0.3752775 
forest RMSE 794 : 0.05455402 

nnet 794 : -0.4527490 
nnet mean 794 : -0.4163798 
nnet RMSE 794 : 0.1486564 


s: 795 
logit 795 : -0.3184024 
logit mean 795 : -0.4141766 
logit RMSE 795 : 0.05710266 

boosting 795 : -0.4199554 
boosting mean 795 : -0.4758175 
boosting RMSE 795 : 0.1315111 

forest 795 : -0.3405542 
forest mean 795 : -0.3752338 
forest RMSE 795 : 0.05456045 

nnet 795 : -0.6106328 
nnet mean 795 : -0.4166242 
nnet RMSE 795 : 0.1487505 


s: 796 
logit 796 : -0.4290456 
logit mean 796 : -0.4141953 
logit RMSE 796 : 0.05707606 

boosting 796 : -0.4205061 
boosting mean 796 : -0.475748 
boosting RMSE 796 : 0.1314305 

forest 796 : -0.3792391 
forest mean 796 : -0.3752388 
forest RMSE 796 : 0.05453113 

nnet 796 : -0.3001399 
nnet mean 796 : -0.4164778 
nnet RMSE 796 : 0.1486992 


s: 797 
logit 797 : -0.4728865 
logit mean 797 : -0.4142689 
logit RMSE 797 : 0.05709864 

boosting 797 : -0.4623722 
boosting mean 797 : -0.4757312 
boosting RMSE 797 : 0.1313666 

forest 797 : -0.5053267 
forest mean 797 : -0.375402 
forest RMSE 797 : 0.05462447 

nnet 797 : -0.6270199 
nnet mean 797 : -0.416742 
nnet RMSE 797 : 0.1488233 


s: 798 
logit 798 : -0.44818 
logit mean 798 : -0.4143114 
logit RMSE 798 : 0.05708834 

boosting 798 : -0.4063884 
boosting mean 798 : -0.4756443 
boosting RMSE 798 : 0.1312845 

forest 798 : -0.3979195 
forest mean 798 : -0.3754302 
forest RMSE 798 : 0.05459028 

nnet 798 : -0.3392544 
nnet mean 798 : -0.4166449 
nnet RMSE 798 : 0.1487456 


s: 799 
logit 799 : -0.3896028 
logit mean 799 : -0.4142805 
logit RMSE 799 : 0.05705379 

boosting 799 : -0.4818205 
boosting mean 799 : -0.475652 
boosting RMSE 799 : 0.1312342 

forest 799 : -0.3140111 
forest mean 799 : -0.3753534 
forest RMSE 799 : 0.05464086 

nnet 799 : -0.4635636 
nnet mean 799 : -0.4167036 
nnet RMSE 799 : 0.1486695 


s: 800 
logit 800 : -0.4879673 
logit mean 800 : -0.4143726 
logit RMSE 800 : 0.05710288 

boosting 800 : -0.5893926 
boosting mean 800 : -0.4757942 
boosting RMSE 800 : 0.131323 

forest 800 : -0.3016976 
forest mean 800 : -0.3752613 
forest RMSE 800 : 0.05471718 

nnet 800 : -0.5292107 
nnet mean 800 : -0.4168443 
nnet RMSE 800 : 0.1486467 


s: 801 
logit 801 : -0.4485743 
logit mean 801 : -0.4144153 
logit RMSE 801 : 0.05709302 

boosting 801 : -0.3935637 
boosting mean 801 : -0.4756916 
boosting RMSE 801 : 0.1312412 

forest 801 : -0.442968 
forest mean 801 : -0.3753458 
forest RMSE 801 : 0.05470409 

nnet 801 : -0.2327065 
nnet mean 801 : -0.4166144 
nnet RMSE 801 : 0.1486715 


s: 802 
logit 802 : -0.4127785 
logit mean 802 : -0.4144132 
logit RMSE 802 : 0.0570592 

boosting 802 : -0.4437334 
boosting mean 802 : -0.4756517 
boosting RMSE 802 : 0.1311684 

forest 802 : -0.4240781 
forest mean 802 : -0.3754066 
forest RMSE 802 : 0.05467659 

nnet 802 : -0.3592121 
nnet mean 802 : -0.4165428 
nnet RMSE 802 : 0.1485857 


s: 803 
logit 803 : -0.3491643 
logit mean 803 : -0.414332 
logit RMSE 803 : 0.05705187 

boosting 803 : -0.5850888 
boosting mean 803 : -0.475788 
boosting RMSE 803 : 0.1312494 

forest 803 : -0.3460643 
forest mean 803 : -0.3753701 
forest RMSE 803 : 0.05467567 

nnet 803 : -0.3464632 
nnet mean 803 : -0.4164555 
nnet RMSE 803 : 0.1485052 


s: 804 
logit 804 : -0.4793388 
logit mean 804 : -0.4144128 
logit RMSE 804 : 0.057085 

boosting 804 : -0.6027648 
boosting mean 804 : -0.4759459 
boosting RMSE 804 : 0.1313625 

forest 804 : -0.3928383 
forest mean 804 : -0.3753918 
forest RMSE 804 : 0.05464224 

nnet 804 : -0.3519716 
nnet mean 804 : -0.4163753 
nnet RMSE 804 : 0.1484225 


s: 805 
logit 805 : -0.4028887 
logit mean 805 : -0.4143985 
logit RMSE 805 : 0.05704962 

boosting 805 : -0.4715067 
boosting mean 805 : -0.4759404 
boosting RMSE 805 : 0.1313051 

forest 805 : -0.353101 
forest mean 805 : -0.3753641 
forest RMSE 805 : 0.0546333 

nnet 805 : -0.3904759 
nnet mean 805 : -0.4163432 
nnet RMSE 805 : 0.1483306 


s: 806 
logit 806 : -0.4749756 
logit mean 806 : -0.4144737 
logit RMSE 806 : 0.05707535 

boosting 806 : -0.5193927 
boosting mean 806 : -0.4759943 
boosting RMSE 806 : 0.1312910 

forest 806 : -0.3659641 
forest mean 806 : -0.3753524 
forest RMSE 806 : 0.05461256 

nnet 806 : -0.6837868 
nnet mean 806 : -0.416675 
nnet RMSE 806 : 0.1485752 


s: 807 
logit 807 : -0.4924656 
logit mean 807 : -0.4145703 
logit RMSE 807 : 0.05713277 

boosting 807 : -0.4003192 
boosting mean 807 : -0.4759006 
boosting RMSE 807 : 0.1312096 

forest 807 : -0.2861935 
forest mean 807 : -0.3752419 
forest RMSE 807 : 0.05472555 

nnet 807 : -0.4578655 
nnet mean 807 : -0.416726 
nnet RMSE 807 : 0.1484971 


s: 808 
logit 808 : -0.4475908 
logit mean 808 : -0.4146112 
logit RMSE 808 : 0.05712195 

boosting 808 : -0.4443426 
boosting mean 808 : -0.4758615 
boosting RMSE 808 : 0.1311377 

forest 808 : -0.3977669 
forest mean 808 : -0.3752698 
forest RMSE 808 : 0.05469173 

nnet 808 : -0.4702946 
nnet mean 808 : -0.4167923 
nnet RMSE 808 : 0.1484258 


s: 809 
logit 809 : -0.3393400 
logit mean 809 : -0.4145182 
logit RMSE 809 : 0.05712646 

boosting 809 : -0.2799733 
boosting mean 809 : -0.4756194 
boosting RMSE 809 : 0.1311245 

forest 809 : -0.2828638 
forest mean 809 : -0.3751556 
forest RMSE 809 : 0.05481284 

nnet 809 : -0.4509771 
nnet mean 809 : -0.4168346 
nnet RMSE 809 : 0.1483449 


s: 810 
logit 810 : -0.4379876 
logit mean 810 : -0.4145471 
logit RMSE 810 : 0.05710678 

boosting 810 : -0.5468578 
boosting mean 810 : -0.4757073 
boosting RMSE 810 : 0.1311451 

forest 810 : -0.4001183 
forest mean 810 : -0.3751864 
forest RMSE 810 : 0.054779 

nnet 810 : -0.4848184 
nnet mean 810 : -0.4169185 
nnet RMSE 810 : 0.1482832 


s: 811 
logit 811 : -0.5340738 
logit mean 811 : -0.4146945 
logit RMSE 811 : 0.05726542 

boosting 811 : -0.4544456 
boosting mean 811 : -0.4756811 
boosting RMSE 811 : 0.1310781 

forest 811 : -0.3792186 
forest mean 811 : -0.3751914 
forest RMSE 811 : 0.05475008 

nnet 811 : -0.9216285 
nnet mean 811 : -0.4175408 
nnet RMSE 811 : 0.1493195 


s: 812 
logit 812 : -0.4065887 
logit mean 812 : -0.4146845 
logit RMSE 812 : 0.05723061 

boosting 812 : -0.5842386 
boosting mean 812 : -0.4758148 
boosting RMSE 812 : 0.1311569 

forest 812 : -0.3886568 
forest mean 812 : -0.375208 
forest RMSE 812 : 0.0547178 

nnet 812 : -0.2223658 
nnet mean 812 : -0.4173005 
nnet RMSE 812 : 0.1493577 


s: 813 
logit 813 : -0.4597062 
logit mean 813 : -0.4147399 
logit RMSE 813 : 0.05723373 

boosting 813 : -0.4498161 
boosting mean 813 : -0.4757828 
boosting RMSE 813 : 0.1310878 

forest 813 : -0.4068379 
forest mean 813 : -0.3752469 
forest RMSE 813 : 0.05468467 

nnet 813 : -0.7766008 
nnet mean 813 : -0.4177424 
nnet RMSE 813 : 0.149849 


s: 814 
logit 814 : -0.4132914 
logit mean 814 : -0.4147381 
logit RMSE 814 : 0.05720046 

boosting 814 : -0.4717458 
boosting mean 814 : -0.4757778 
boosting RMSE 814 : 0.1310314 

forest 814 : -0.3930308 
forest mean 814 : -0.3752687 
forest RMSE 814 : 0.05465161 

nnet 814 : -0.6724225 
nnet mean 814 : -0.4180553 
nnet RMSE 814 : 0.1500610 


s: 815 
logit 815 : -0.3971514 
logit mean 815 : -0.4147165 
logit RMSE 815 : 0.05716544 

boosting 815 : -0.3598167 
boosting mean 815 : -0.4756356 
boosting RMSE 815 : 0.1309586 

forest 815 : -0.2986130 
forest mean 815 : -0.3751747 
forest RMSE 815 : 0.05473341 

nnet 815 : -0.3579976 
nnet mean 815 : -0.4179816 
nnet RMSE 815 : 0.1499761 


s: 816 
logit 816 : -0.5110591 
logit mean 816 : -0.4148346 
logit RMSE 816 : 0.05726254 

boosting 816 : -0.7445255 
boosting mean 816 : -0.4759651 
boosting RMSE 816 : 0.1314328 

forest 816 : -0.4717864 
forest mean 816 : -0.3752931 
forest RMSE 816 : 0.05475756 

nnet 816 : -0.3420658 
nnet mean 816 : -0.4178886 
nnet RMSE 816 : 0.1498979 


s: 817 
logit 817 : -0.4307617 
logit mean 817 : -0.4148541 
logit RMSE 817 : 0.0572376 

boosting 817 : -0.3902465 
boosting mean 817 : -0.4758602 
boosting RMSE 817 : 0.1313528 

forest 817 : -0.3808333 
forest mean 817 : -0.3752999 
forest RMSE 817 : 0.05472815 

nnet 817 : -0.4074366 
nnet mean 817 : -0.4178758 
nnet RMSE 817 : 0.1498064 


s: 818 
logit 818 : -0.4573985 
logit mean 818 : -0.4149061 
logit RMSE 818 : 0.0572378 

boosting 818 : -0.5747757 
boosting mean 818 : -0.4759811 
boosting RMSE 818 : 0.1314147 

forest 818 : -0.3279098 
forest mean 818 : -0.3752419 
forest RMSE 818 : 0.05475274 

nnet 818 : -0.5517985 
nnet mean 818 : -0.4180395 
nnet RMSE 818 : 0.1498089 


s: 819 
logit 819 : -0.4685149 
logit mean 819 : -0.4149716 
logit RMSE 819 : 0.05725292 

boosting 819 : -0.5661578 
boosting mean 819 : -0.4760912 
boosting RMSE 819 : 0.1314627 

forest 819 : -0.3680866 
forest mean 819 : -0.3752332 
forest RMSE 819 : 0.05473066 

nnet 819 : -0.5216512 
nnet mean 819 : -0.418166 
nnet RMSE 819 : 0.1497777 


s: 820 
logit 820 : -0.4467047 
logit mean 820 : -0.4150103 
logit RMSE 820 : 0.05724124 

boosting 820 : -0.4549307 
boosting mean 820 : -0.4760654 
boosting RMSE 820 : 0.1313965 

forest 820 : -0.3053626 
forest mean 820 : -0.375148 
forest RMSE 820 : 0.05479703 

nnet 820 : -0.5024904 
nnet mean 820 : -0.4182688 
nnet RMSE 820 : 0.1497291 


s: 821 
logit 821 : -0.4342286 
logit mean 821 : -0.4150337 
logit RMSE 821 : 0.05721884 

boosting 821 : -0.5193328 
boosting mean 821 : -0.4761181 
boosting RMSE 821 : 0.1313825 

forest 821 : -0.4404284 
forest mean 821 : -0.3752275 
forest RMSE 821 : 0.05478182 

nnet 821 : -0.3518315 
nnet mean 821 : -0.4181879 
nnet RMSE 821 : 0.1496474 


s: 822 
logit 822 : -0.4142678 
logit mean 822 : -0.4150328 
logit RMSE 822 : 0.05718619 

boosting 822 : -0.4643409 
boosting mean 822 : -0.4761038 
boosting RMSE 822 : 0.1313217 

forest 822 : -0.3952501 
forest mean 822 : -0.3752518 
forest RMSE 822 : 0.05474874 

nnet 822 : -0.3497044 
nnet mean 822 : -0.4181046 
nnet RMSE 822 : 0.1495666 


s: 823 
logit 823 : -0.4238129 
logit mean 823 : -0.4150434 
logit RMSE 823 : 0.05715747 

boosting 823 : -0.5510783 
boosting mean 823 : -0.4761949 
boosting RMSE 823 : 0.1313475 

forest 823 : -0.3541034 
forest mean 823 : -0.3752261 
forest RMSE 823 : 0.05473885 

nnet 823 : -0.6084819 
nnet mean 823 : -0.4183359 
nnet RMSE 823 : 0.1496523 


s: 824 
logit 824 : -0.3648341 
logit mean 824 : -0.4149825 
logit RMSE 824 : 0.05713591 

boosting 824 : -0.4382829 
boosting mean 824 : -0.4761489 
boosting RMSE 824 : 0.1312746 

forest 824 : -0.3251102 
forest mean 824 : -0.3751653 
forest RMSE 824 : 0.0547678 

nnet 824 : -0.6012394 
nnet mean 824 : -0.4185579 
nnet RMSE 824 : 0.1497256 


s: 825 
logit 825 : -0.3144484 
logit mean 825 : -0.4148606 
logit RMSE 825 : 0.0571789 

boosting 825 : -0.3027165 
boosting mean 825 : -0.4759386 
boosting RMSE 825 : 0.1312387 

forest 825 : -0.3273779 
forest mean 825 : -0.3751074 
forest RMSE 825 : 0.05479296 

nnet 825 : -0.1138042 
nnet mean 825 : -0.4181885 
nnet RMSE 825 : 0.1499662 


s: 826 
logit 826 : -0.4222428 
logit mean 826 : -0.4148696 
logit RMSE 826 : 0.05714952 

boosting 826 : -0.5568392 
boosting mean 826 : -0.4760366 
boosting RMSE 826 : 0.1312727 

forest 826 : -0.408941 
forest mean 826 : -0.3751484 
forest RMSE 826 : 0.05476067 

nnet 826 : -0.6152172 
nnet mean 826 : -0.418427 
nnet RMSE 826 : 0.1500624 


s: 827 
logit 827 : -0.4002549 
logit mean 827 : -0.4148519 
logit RMSE 827 : 0.05711496 

boosting 827 : -0.5434356 
boosting mean 827 : -0.4761181 
boosting RMSE 827 : 0.1312881 

forest 827 : -0.4318037 
forest mean 827 : -0.3752169 
forest RMSE 827 : 0.05473873 

nnet 827 : -0.4490133 
nnet mean 827 : -0.418464 
nnet RMSE 827 : 0.1499813 


s: 828 
logit 828 : -0.3759133 
logit mean 828 : -0.4148049 
logit RMSE 828 : 0.05708659 

boosting 828 : -0.5034803 
boosting mean 828 : -0.4761511 
boosting RMSE 828 : 0.1312581 

forest 828 : -0.357797 
forest mean 828 : -0.3751958 
forest RMSE 828 : 0.05472532 

nnet 828 : -0.3465071 
nnet mean 828 : -0.4183771 
nnet RMSE 828 : 0.1499023 


s: 829 
logit 829 : -0.3794390 
logit mean 829 : -0.4147622 
logit RMSE 829 : 0.05705662 

boosting 829 : -0.4991873 
boosting mean 829 : -0.4761789 
boosting RMSE 829 : 0.1312241 

forest 829 : -0.3302988 
forest mean 829 : -0.3751417 
forest RMSE 829 : 0.05474585 

nnet 829 : -0.3838673 
nnet mean 829 : -0.4183355 
nnet RMSE 829 : 0.1498129 


s: 830 
logit 830 : -0.3754037 
logit mean 830 : -0.4147148 
logit RMSE 830 : 0.05702863 

boosting 830 : -0.5639276 
boosting mean 830 : -0.4762846 
boosting RMSE 830 : 0.1312684 

forest 830 : -0.4137210 
forest mean 830 : -0.3751882 
forest RMSE 830 : 0.05471493 

nnet 830 : -0.4715232 
nnet mean 830 : -0.4183996 
nnet RMSE 830 : 0.1497432 


s: 831 
logit 831 : -0.3982362 
logit mean 831 : -0.4146950 
logit RMSE 831 : 0.05699434 

boosting 831 : -0.5771854 
boosting mean 831 : -0.476406 
boosting RMSE 831 : 0.1313333 

forest 831 : -0.3475848 
forest mean 831 : -0.3751549 
forest RMSE 831 : 0.05471222 

nnet 831 : -0.3834408 
nnet mean 831 : -0.4183575 
nnet RMSE 831 : 0.1496542 


s: 832 
logit 832 : -0.4466562 
logit mean 832 : -0.4147334 
logit RMSE 832 : 0.05698304 

boosting 832 : -0.5106237 
boosting mean 832 : -0.4764472 
boosting RMSE 832 : 0.1313104 

forest 832 : -0.395751 
forest mean 832 : -0.3751797 
forest RMSE 832 : 0.05467953 

nnet 832 : -0.3432206 
nnet mean 832 : -0.4182672 
nnet RMSE 832 : 0.1495771 


s: 833 
logit 833 : -0.5119316 
logit mean 833 : -0.4148501 
logit RMSE 833 : 0.05708072 

boosting 833 : -0.5977054 
boosting mean 833 : -0.4765927 
boosting RMSE 833 : 0.1314102 

forest 833 : -0.3523515 
forest mean 833 : -0.3751523 
forest RMSE 833 : 0.05467163 

nnet 833 : -0.2788565 
nnet mean 833 : -0.4180998 
nnet RMSE 833 : 0.1495462 


s: 834 
logit 834 : -0.4587309 
logit mean 834 : -0.4149027 
logit RMSE 834 : 0.05708273 

boosting 834 : -0.9172869 
boosting mean 834 : -0.4771212 
boosting RMSE 834 : 0.1325473 

forest 834 : -0.3454409 
forest mean 834 : -0.3751167 
forest RMSE 834 : 0.0546715 

nnet 834 : -0.2368665 
nnet mean 834 : -0.4178825 
nnet RMSE 834 : 0.1495633 


s: 835 
logit 835 : -0.389009 
logit mean 835 : -0.4148717 
logit RMSE 835 : 0.05704981 

boosting 835 : -0.4708846 
boosting mean 835 : -0.4771137 
boosting RMSE 835 : 0.1324906 

forest 835 : -0.3157991 
forest mean 835 : -0.3750456 
forest RMSE 835 : 0.0547164 

nnet 835 : -0.3049757 
nnet mean 835 : -0.4177473 
nnet RMSE 835 : 0.1495099 


s: 836 
logit 836 : -0.366036 
logit mean 836 : -0.4148132 
logit RMSE 836 : 0.05702778 

boosting 836 : -0.2689258 
boosting mean 836 : -0.4768647 
boosting RMSE 836 : 0.1324889 

forest 836 : -0.3204558 
forest mean 836 : -0.3749803 
forest RMSE 836 : 0.05475282 

nnet 836 : -0.3339843 
nnet mean 836 : -0.4176471 
nnet RMSE 836 : 0.1494379 


s: 837 
logit 837 : -0.3986558 
logit mean 837 : -0.4147939 
logit RMSE 837 : 0.05699372 

boosting 837 : -0.802535 
boosting mean 837 : -0.4772537 
boosting RMSE 837 : 0.1331388 

forest 837 : -0.2994071 
forest mean 837 : -0.37489 
forest RMSE 837 : 0.05483046 

nnet 837 : -0.3425203 
nnet mean 837 : -0.4175573 
nnet RMSE 837 : 0.1493618 


s: 838 
logit 838 : -0.3419386 
logit mean 838 : -0.414707 
logit RMSE 838 : 0.056995 

boosting 838 : -0.4621351 
boosting mean 838 : -0.4772357 
boosting RMSE 838 : 0.1330766 

forest 838 : -0.3837424 
forest mean 838 : -0.3749006 
forest RMSE 838 : 0.05480061 

nnet 838 : -0.5408281 
nnet mean 838 : -0.4177044 
nnet RMSE 838 : 0.1493519 


s: 839 
logit 839 : -0.4724086 
logit mean 839 : -0.4147758 
logit RMSE 839 : 0.05701586 

boosting 839 : -0.4386225 
boosting mean 839 : -0.4771897 
boosting RMSE 839 : 0.1330040 

forest 839 : -0.3748417 
forest mean 839 : -0.3749005 
forest RMSE 839 : 0.05477483 

nnet 839 : -0.3373705 
nnet mean 839 : -0.4176087 
nnet RMSE 839 : 0.1492785 


s: 840 
logit 840 : -0.40006 
logit mean 840 : -0.4147583 
logit RMSE 840 : 0.05698191 

boosting 840 : -0.6441843 
boosting mean 840 : -0.4773885 
boosting RMSE 840 : 0.1331915 

forest 840 : -0.3515922 
forest mean 840 : -0.3748728 
forest RMSE 840 : 0.05476769 

nnet 840 : -0.6259413 
nnet mean 840 : -0.4178567 
nnet RMSE 840 : 0.1493932 


s: 841 
logit 841 : -0.4709862 
logit mean 841 : -0.4148251 
logit RMSE 841 : 0.0570006 

boosting 841 : -0.5549013 
boosting mean 841 : -0.4774807 
boosting RMSE 841 : 0.1332194 

forest 841 : -0.396289 
forest mean 841 : -0.3748982 
forest RMSE 841 : 0.05473527 

nnet 841 : -0.8138606 
nnet mean 841 : -0.4183276 
nnet RMSE 841 : 0.1499848 


s: 842 
logit 842 : -0.3662347 
logit mean 842 : -0.4147674 
logit RMSE 842 : 0.05697863 

boosting 842 : -0.4264346 
boosting mean 842 : -0.47742 
boosting RMSE 842 : 0.1331434 

forest 842 : -0.2731479 
forest mean 842 : -0.3747774 
forest RMSE 842 : 0.05487716 

nnet 842 : -0.4550052 
nnet mean 842 : -0.4183711 
nnet RMSE 842 : 0.1499077 


s: 843 
logit 843 : -0.3728932 
logit mean 843 : -0.4147177 
logit RMSE 843 : 0.05695248 

boosting 843 : -0.5905861 
boosting mean 843 : -0.4775543 
boosting RMSE 843 : 0.1332262 

forest 843 : -0.4154627 
forest mean 843 : -0.3748257 
forest RMSE 843 : 0.05484719 

nnet 843 : -0.1372138 
nnet mean 843 : -0.4180376 
nnet RMSE 843 : 0.1500919 


s: 844 
logit 844 : -0.3598633 
logit mean 844 : -0.4146527 
logit RMSE 844 : 0.05693549 

boosting 844 : -0.4944337 
boosting mean 844 : -0.4775743 
boosting RMSE 844 : 0.1331870 

forest 844 : -0.3501525 
forest mean 844 : -0.3747964 
forest RMSE 844 : 0.05484153 

nnet 844 : -0.2698854 
nnet mean 844 : -0.4178621 
nnet RMSE 844 : 0.1500698 


s: 845 
logit 845 : -0.4250052 
logit mean 845 : -0.414665 
logit RMSE 845 : 0.05690829 

boosting 845 : -0.3615144 
boosting mean 845 : -0.4774369 
boosting RMSE 845 : 0.1331147 

forest 845 : -0.3683332 
forest mean 845 : -0.3747888 
forest RMSE 845 : 0.0548199 

nnet 845 : -0.4971713 
nnet mean 845 : -0.4179559 
nnet RMSE 845 : 0.1500182 


s: 846 
logit 846 : -0.3872398 
logit mean 846 : -0.4146326 
logit RMSE 846 : 0.05687634 

boosting 846 : -0.2901296 
boosting mean 846 : -0.4772155 
boosting RMSE 846 : 0.1330896 

forest 846 : -0.4461744 
forest mean 846 : -0.3748732 
forest RMSE 846 : 0.05481048 

nnet 846 : -0.716873 
nnet mean 846 : -0.4183093 
nnet RMSE 846 : 0.1503248 


s: 847 
logit 847 : -0.303803 
logit mean 847 : -0.4145017 
logit RMSE 847 : 0.05693878 

boosting 847 : -0.6062209 
boosting mean 847 : -0.4773678 
boosting RMSE 847 : 0.1331996 

forest 847 : -0.2932194 
forest mean 847 : -0.3747768 
forest RMSE 847 : 0.05490086 

nnet 847 : -0.3780461 
nnet mean 847 : -0.4182617 
nnet RMSE 847 : 0.1502380 


s: 848 
logit 848 : -0.3620211 
logit mean 848 : -0.4144398 
logit RMSE 848 : 0.05692014 

boosting 848 : -0.4511322 
boosting mean 848 : -0.4773369 
boosting RMSE 848 : 0.1331327 

forest 848 : -0.414753 
forest mean 848 : -0.3748239 
forest RMSE 848 : 0.05487081 

nnet 848 : -0.5509168 
nnet mean 848 : -0.4184182 
nnet RMSE 848 : 0.1502388 


s: 849 
logit 849 : -0.3955139 
logit mean 849 : -0.4144175 
logit RMSE 849 : 0.05688682 

boosting 849 : -0.5579641 
boosting mean 849 : -0.4774319 
boosting RMSE 849 : 0.1331646 

forest 849 : -0.414785 
forest mean 849 : -0.374871 
forest RMSE 849 : 0.05484084 

nnet 849 : -0.3516982 
nnet mean 849 : -0.4183396 
nnet RMSE 849 : 0.1501594 


s: 850 
logit 850 : -0.3990391 
logit mean 850 : -0.4143995 
logit RMSE 850 : 0.05685335 

boosting 850 : -0.538335 
boosting mean 850 : -0.4775035 
boosting RMSE 850 : 0.1331708 

forest 850 : -0.3672018 
forest mean 850 : -0.3748619 
forest RMSE 850 : 0.05482011 

nnet 850 : -0.2695362 
nnet mean 850 : -0.4181645 
nnet RMSE 850 : 0.1501378 


s: 851 
logit 851 : -0.4377778 
logit mean 851 : -0.4144269 
logit RMSE 851 : 0.05683469 

boosting 851 : -0.3958414 
boosting mean 851 : -0.4774075 
boosting RMSE 851 : 0.1330926 

forest 851 : -0.3415409 
forest mean 851 : -0.3748228 
forest RMSE 851 : 0.05482453 

nnet 851 : -0.309805 
nnet mean 851 : -0.4180372 
nnet RMSE 851 : 0.1500814 


s: 852 
logit 852 : -0.4141534 
logit mean 852 : -0.4144266 
logit RMSE 852 : 0.0568034 

boosting 852 : -0.5895595 
boosting mean 852 : -0.4775392 
boosting RMSE 852 : 0.1331730 

forest 852 : -0.4374106 
forest mean 852 : -0.3748963 
forest RMSE 852 : 0.05480733 

nnet 852 : -0.6099693 
nnet mean 852 : -0.4182625 
nnet RMSE 852 : 0.1501657 


s: 853 
logit 853 : -0.4832874 
logit mean 853 : -0.4145073 
logit RMSE 853 : 0.05684167 

boosting 853 : -0.4300061 
boosting mean 853 : -0.4774835 
boosting RMSE 853 : 0.1330988 

forest 853 : -0.3761653 
forest mean 853 : -0.3748977 
forest RMSE 853 : 0.05478128 

nnet 853 : -0.3709216 
nnet mean 853 : -0.418207 
nnet RMSE 853 : 0.1500809 


s: 854 
logit 854 : -0.4302345 
logit mean 854 : -0.4145257 
logit RMSE 854 : 0.0568178 

boosting 854 : -0.5801605 
boosting mean 854 : -0.4776037 
boosting RMSE 854 : 0.1331637 

forest 854 : -0.4220026 
forest mean 854 : -0.3749529 
forest RMSE 854 : 0.05475437 

nnet 854 : -0.5489368 
nnet mean 854 : -0.41836 
nnet RMSE 854 : 0.1500796 


s: 855 
logit 855 : -0.5018913 
logit mean 855 : -0.4146279 
logit RMSE 855 : 0.05689138 

boosting 855 : -0.3219875 
boosting mean 855 : -0.4774217 
boosting RMSE 855 : 0.1331125 

forest 855 : -0.3578966 
forest mean 855 : -0.3749329 
forest RMSE 855 : 0.05474128 

nnet 855 : -0.641326 
nnet mean 855 : -0.4186208 
nnet RMSE 855 : 0.1502187 


s: 856 
logit 856 : -0.4761581 
logit mean 856 : -0.4146998 
logit RMSE 856 : 0.0569177 

boosting 856 : -0.447481 
boosting mean 856 : -0.4773867 
boosting RMSE 856 : 0.1330446 

forest 856 : -0.4451149 
forest mean 856 : -0.3750149 
forest RMSE 856 : 0.05473103 

nnet 856 : -0.2045365 
nnet mean 856 : -0.4183707 
nnet RMSE 856 : 0.1502795 


s: 857 
logit 857 : -0.4236792 
logit mean 857 : -0.4147103 
logit RMSE 857 : 0.05689023 

boosting 857 : -0.5003344 
boosting mean 857 : -0.4774135 
boosting RMSE 857 : 0.1330112 

forest 857 : -0.3115369 
forest mean 857 : -0.3749409 
forest RMSE 857 : 0.05478249 

nnet 857 : -0.1325303 
nnet mean 857 : -0.4180372 
nnet RMSE 857 : 0.1504694 


s: 858 
logit 858 : -0.3088523 
logit mean 858 : -0.4145869 
logit RMSE 858 : 0.05694216 

boosting 858 : -0.3272864 
boosting mean 858 : -0.4772385 
boosting RMSE 858 : 0.1329568 

forest 858 : -0.3582943 
forest mean 858 : -0.3749215 
forest RMSE 858 : 0.05476907 

nnet 858 : -0.4115751 
nnet mean 858 : -0.4180297 
nnet RMSE 858 : 0.1503822 


s: 859 
logit 859 : -0.4434889 
logit mean 859 : -0.4146206 
logit RMSE 859 : 0.05692834 

boosting 859 : -0.4849823 
boosting mean 859 : -0.4772475 
boosting RMSE 859 : 0.1329110 

forest 859 : -0.3626825 
forest mean 859 : -0.3749072 
forest RMSE 859 : 0.05475199 

nnet 859 : -0.7307904 
nnet mean 859 : -0.4183938 
nnet RMSE 859 : 0.1507179 


s: 860 
logit 860 : -0.3332951 
logit mean 860 : -0.414526 
logit RMSE 860 : 0.05694069 

boosting 860 : -0.6113968 
boosting mean 860 : -0.4774035 
boosting RMSE 860 : 0.1330292 

forest 860 : -0.3302189 
forest mean 860 : -0.3748553 
forest RMSE 860 : 0.05477186 

nnet 860 : -0.2799753 
nnet mean 860 : -0.4182328 
nnet RMSE 860 : 0.1506858 


s: 861 
logit 861 : -0.3833106 
logit mean 861 : -0.4144897 
logit RMSE 861 : 0.05691045 

boosting 861 : -0.5138873 
boosting mean 861 : -0.4774459 
boosting RMSE 861 : 0.1330085 

forest 861 : -0.4540397 
forest mean 861 : -0.3749472 
forest RMSE 861 : 0.05477101 

nnet 861 : -0.3850997 
nnet mean 861 : -0.4181943 
nnet RMSE 861 : 0.1505991 


s: 862 
logit 862 : -0.5222672 
logit mean 862 : -0.4146148 
logit RMSE 862 : 0.05702968 

boosting 862 : -0.4742938 
boosting mean 862 : -0.4774422 
boosting RMSE 862 : 0.1329554 

forest 862 : -0.3558706 
forest mean 862 : -0.3749251 
forest RMSE 862 : 0.05475986 

nnet 862 : -0.3869238 
nnet mean 862 : -0.418158 
nnet RMSE 862 : 0.1505124 


s: 863 
logit 863 : -0.540328 
logit mean 863 : -0.4147604 
logit RMSE 863 : 0.05719645 

boosting 863 : -0.7594999 
boosting mean 863 : -0.4777691 
boosting RMSE 863 : 0.1334407 

forest 863 : -0.4762795 
forest mean 863 : -0.3750425 
forest RMSE 863 : 0.05478969 

nnet 863 : -0.5156228 
nnet mean 863 : -0.418271 
nnet RMSE 863 : 0.1504766 


s: 864 
logit 864 : -0.408084 
logit mean 864 : -0.4147527 
logit RMSE 864 : 0.057164 

boosting 864 : -0.5096732 
boosting mean 864 : -0.477806 
boosting RMSE 864 : 0.1334157 

forest 864 : -0.3102569 
forest mean 864 : -0.3749676 
forest RMSE 864 : 0.05484303 

nnet 864 : -0.615275 
nnet mean 864 : -0.418499 
nnet RMSE 864 : 0.1505678 


s: 865 
logit 865 : -0.45483 
logit mean 865 : -0.4147990 
logit RMSE 865 : 0.05716136 

boosting 865 : -0.4687942 
boosting mean 865 : -0.4777956 
boosting RMSE 865 : 0.1333590 

forest 865 : -0.3973153 
forest mean 865 : -0.3749934 
forest RMSE 865 : 0.05481139 

nnet 865 : -0.2639647 
nnet mean 865 : -0.4183203 
nnet RMSE 865 : 0.1505518 


s: 866 
logit 866 : -0.3773016 
logit mean 866 : -0.4147557 
logit RMSE 866 : 0.05713355 

boosting 866 : -0.4557357 
boosting mean 866 : -0.4777701 
boosting RMSE 866 : 0.1332955 

forest 866 : -0.4057877 
forest mean 866 : -0.3750289 
forest RMSE 866 : 0.05478009 

nnet 866 : -0.2641845 
nnet mean 866 : -0.4181424 
nnet RMSE 866 : 0.1505356 


s: 867 
logit 867 : -0.4079183 
logit mean 867 : -0.4147479 
logit RMSE 867 : 0.05710123 

boosting 867 : -0.4089091 
boosting mean 867 : -0.4776907 
boosting RMSE 867 : 0.1332189 

forest 867 : -0.3088137 
forest mean 867 : -0.3749526 
forest RMSE 867 : 0.054836 

nnet 867 : -0.04806499 
nnet mean 867 : -0.4177155 
nnet RMSE 867 : 0.1509228 


s: 868 
logit 868 : -0.4416544 
logit mean 868 : -0.4147789 
logit RMSE 868 : 0.05708584 

boosting 868 : -0.4909898 
boosting mean 868 : -0.477706 
boosting RMSE 868 : 0.1331780 

forest 868 : -0.412192 
forest mean 868 : -0.3749955 
forest RMSE 868 : 0.05480597 

nnet 868 : -0.3406646 
nnet mean 868 : -0.4176267 
nnet RMSE 868 : 0.1508493 


s: 869 
logit 869 : -0.5206797 
logit mean 869 : -0.4149007 
logit RMSE 869 : 0.05719967 

boosting 869 : -0.3061930 
boosting mean 869 : -0.4775086 
boosting RMSE 869 : 0.1331394 

forest 869 : -0.3033717 
forest mean 869 : -0.3749131 
forest RMSE 869 : 0.05487242 

nnet 869 : -0.5238069 
nnet mean 869 : -0.4177489 
nnet RMSE 869 : 0.1508209 


s: 870 
logit 870 : -0.3876624 
logit mean 870 : -0.4148694 
logit RMSE 870 : 0.05716831 

boosting 870 : -0.4616967 
boosting mean 870 : -0.4774904 
boosting RMSE 870 : 0.1330793 

forest 870 : -0.3844775 
forest mean 870 : -0.3749240 
forest RMSE 870 : 0.0548434 

nnet 870 : -0.5498418 
nnet mean 870 : -0.4179008 
nnet RMSE 870 : 0.1508198 


s: 871 
logit 871 : -0.4667266 
logit mean 871 : -0.4149289 
logit RMSE 871 : 0.0571802 

boosting 871 : -0.4733941 
boosting mean 871 : -0.4774857 
boosting RMSE 871 : 0.1330261 

forest 871 : -0.3893369 
forest mean 871 : -0.3749406 
forest RMSE 871 : 0.0548131 

nnet 871 : -0.5403906 
nnet mean 871 : -0.4180414 
nnet RMSE 871 : 0.1508082 


s: 872 
logit 872 : -0.4099604 
logit mean 872 : -0.4149233 
logit RMSE 872 : 0.0571484 

boosting 872 : -0.537421 
boosting mean 872 : -0.4775545 
boosting RMSE 872 : 0.1330312 

forest 872 : -0.334117 
forest mean 872 : -0.3748938 
forest RMSE 872 : 0.05482707 

nnet 872 : -0.5250979 
nnet mean 872 : -0.4181642 
nnet RMSE 872 : 0.1507813 


s: 873 
logit 873 : -0.5196335 
logit mean 873 : -0.4150432 
logit RMSE 873 : 0.057259 

boosting 873 : -0.4887068 
boosting mean 873 : -0.4775673 
boosting RMSE 873 : 0.1329889 

forest 873 : -0.3991852 
forest mean 873 : -0.3749216 
forest RMSE 873 : 0.05479567 

nnet 873 : -0.2538893 
nnet mean 873 : -0.417976 
nnet RMSE 873 : 0.150776 


s: 874 
logit 874 : -0.4462134 
logit mean 874 : -0.4150789 
logit RMSE 874 : 0.05724758 

boosting 874 : -0.5857305 
boosting mean 874 : -0.477691 
boosting RMSE 874 : 0.1330612 

forest 874 : -0.3658408 
forest mean 874 : -0.3749112 
forest RMSE 874 : 0.0547765 

nnet 874 : -0.2325237 
nnet mean 874 : -0.4177638 
nnet RMSE 874 : 0.1507962 


s: 875 
logit 875 : -0.400371 
logit mean 875 : -0.4150620 
logit RMSE 875 : 0.05721486 

boosting 875 : -0.4490952 
boosting mean 875 : -0.4776583 
boosting RMSE 875 : 0.1329955 

forest 875 : -0.371397 
forest mean 875 : -0.3749072 
forest RMSE 875 : 0.05475373 

nnet 875 : -0.6303074 
nnet mean 875 : -0.4180067 
nnet RMSE 875 : 0.1509110 


s: 876 
logit 876 : -0.335046 
logit mean 876 : -0.4149707 
logit RMSE 876 : 0.05722429 

boosting 876 : -0.4989334 
boosting mean 876 : -0.4776826 
boosting RMSE 876 : 0.1329616 

forest 876 : -0.3260583 
forest mean 876 : -0.3748514 
forest RMSE 876 : 0.05477947 

nnet 876 : -0.4817571 
nnet mean 876 : -0.4180795 
nnet RMSE 876 : 0.1508501 


s: 877 
logit 877 : -0.3621534 
logit mean 877 : -0.4149105 
logit RMSE 877 : 0.05720593 

boosting 877 : -0.3078405 
boosting mean 877 : -0.4774890 
boosting RMSE 877 : 0.1329222 

forest 877 : -0.4045506 
forest mean 877 : -0.3748853 
forest RMSE 877 : 0.05474844 

nnet 877 : -0.5901432 
nnet mean 877 : -0.4182757 
nnet RMSE 877 : 0.1509007 


s: 878 
logit 878 : -0.4631214 
logit mean 878 : -0.4149654 
logit RMSE 878 : 0.05721302 

boosting 878 : -0.64414 
boosting mean 878 : -0.4776788 
boosting RMSE 878 : 0.1331017 

forest 878 : -0.3878588 
forest mean 878 : -0.3749001 
forest RMSE 878 : 0.05471879 

nnet 878 : -0.3588233 
nnet mean 878 : -0.418208 
nnet RMSE 878 : 0.1508212 


s: 879 
logit 879 : -0.4307132 
logit mean 879 : -0.4149833 
logit RMSE 879 : 0.05718985 

boosting 879 : -0.4240361 
boosting mean 879 : -0.4776177 
boosting RMSE 879 : 0.1330285 

forest 879 : -0.3434383 
forest mean 879 : -0.3748643 
forest RMSE 879 : 0.05472092 

nnet 879 : -0.2661538 
nnet mean 879 : -0.418035 
nnet RMSE 879 : 0.1508029 


s: 880 
logit 880 : -0.375655 
logit mean 880 : -0.4149386 
logit RMSE 880 : 0.05716324 

boosting 880 : -0.3822707 
boosting mean 880 : -0.4775094 
boosting RMSE 880 : 0.1329542 

forest 880 : -0.3959986 
forest mean 880 : -0.3748883 
forest RMSE 880 : 0.05468999 

nnet 880 : -0.2991455 
nnet mean 880 : -0.4178999 
nnet RMSE 880 : 0.1507556 


s: 881 
logit 881 : -0.4600419 
logit mean 881 : -0.4149898 
logit RMSE 881 : 0.05716659 

boosting 881 : -0.5122134 
boosting mean 881 : -0.4775488 
boosting RMSE 881 : 0.1329325 

forest 881 : -0.3514536 
forest mean 881 : -0.3748617 
forest RMSE 881 : 0.0546834 

nnet 881 : -0.2699233 
nnet mean 881 : -0.4177319 
nnet RMSE 881 : 0.1507337 


s: 882 
logit 882 : -0.5337289 
logit mean 882 : -0.4151244 
logit RMSE 882 : 0.05731134 

boosting 882 : -0.5410438 
boosting mean 882 : -0.4776208 
boosting RMSE 882 : 0.1329420 

forest 882 : -0.3754559 
forest mean 882 : -0.3748624 
forest RMSE 882 : 0.05465865 

nnet 882 : -0.376167 
nnet mean 882 : -0.4176848 
nnet RMSE 882 : 0.1506504 


s: 883 
logit 883 : -0.3458995 
logit mean 883 : -0.415046 
logit RMSE 883 : 0.0573078 

boosting 883 : -0.4677055 
boosting mean 883 : -0.4776095 
boosting RMSE 883 : 0.1328862 

forest 883 : -0.3924718 
forest mean 883 : -0.3748823 
forest RMSE 883 : 0.05462827 

nnet 883 : -0.622063 
nnet mean 883 : -0.4179162 
nnet RMSE 883 : 0.1507504 


s: 884 
logit 884 : -0.3568032 
logit mean 884 : -0.4149802 
logit RMSE 884 : 0.0572938 

boosting 884 : -0.4154719 
boosting mean 884 : -0.4775392 
boosting RMSE 884 : 0.1328120 

forest 884 : -0.4181543 
forest mean 884 : -0.3749313 
forest RMSE 884 : 0.05460078 

nnet 884 : -0.2550194 
nnet mean 884 : -0.417732 
nnet RMSE 884 : 0.1507440 


s: 885 
logit 885 : -0.4201299 
logit mean 885 : -0.414986 
logit RMSE 885 : 0.05726542 

boosting 885 : -0.5623245 
boosting mean 885 : -0.477635 
boosting RMSE 885 : 0.1328491 

forest 885 : -0.3280512 
forest mean 885 : -0.3748783 
forest RMSE 885 : 0.05462349 

nnet 885 : -0.1526663 
nnet mean 885 : -0.4174325 
nnet RMSE 885 : 0.1508880 


s: 886 
logit 886 : -0.4992108 
logit mean 886 : -0.415081 
logit RMSE 886 : 0.05733007 

boosting 886 : -0.358616 
boosting mean 886 : -0.4775007 
boosting RMSE 886 : 0.1327814 

forest 886 : -0.3834348 
forest mean 886 : -0.3748880 
forest RMSE 886 : 0.05459549 

nnet 886 : -0.4117798 
nnet mean 886 : -0.4174261 
nnet RMSE 886 : 0.1508034 


s: 887 
logit 887 : -0.3167533 
logit mean 887 : -0.4149702 
logit RMSE 887 : 0.05736588 

boosting 887 : -0.2349485 
boosting mean 887 : -0.4772273 
boosting RMSE 887 : 0.1328222 

forest 887 : -0.348916 
forest mean 887 : -0.3748587 
forest RMSE 887 : 0.05459166 

nnet 887 : -0.4715712 
nnet mean 887 : -0.4174871 
nnet RMSE 887 : 0.1507375 


s: 888 
logit 888 : -0.3790697 
logit mean 888 : -0.4149298 
logit RMSE 888 : 0.05733787 

boosting 888 : -0.398142 
boosting mean 888 : -0.4771382 
boosting RMSE 888 : 0.1327474 

forest 888 : -0.3271384 
forest mean 888 : -0.3748049 
forest RMSE 888 : 0.05461567 

nnet 888 : -0.1919861 
nnet mean 888 : -0.4172332 
nnet RMSE 888 : 0.1508142 


s: 889 
logit 889 : -0.4917575 
logit mean 889 : -0.4150162 
logit RMSE 889 : 0.05738819 

boosting 889 : -0.4895176 
boosting mean 889 : -0.4771521 
boosting RMSE 889 : 0.1327067 

forest 889 : -0.3161902 
forest mean 889 : -0.374739 
forest RMSE 889 : 0.05465727 

nnet 889 : -0.5245621 
nnet mean 889 : -0.4173539 
nnet RMSE 889 : 0.1507873 


s: 890 
logit 890 : -0.4513231 
logit mean 890 : -0.415057 
logit RMSE 890 : 0.05738173 

boosting 890 : -0.6055638 
boosting mean 890 : -0.4772964 
boosting RMSE 890 : 0.1328109 

forest 890 : -0.3812791 
forest mean 890 : -0.3747463 
forest RMSE 890 : 0.05463016 

nnet 890 : -0.5864923 
nnet mean 890 : -0.4175440 
nnet RMSE 890 : 0.1508321 


s: 891 
logit 891 : -0.3517897 
logit mean 891 : -0.414986 
logit RMSE 891 : 0.05737226 

boosting 891 : -0.3628655 
boosting mean 891 : -0.477168 
boosting RMSE 891 : 0.1327422 

forest 891 : -0.3080593 
forest mean 891 : -0.3746715 
forest RMSE 891 : 0.05468631 

nnet 891 : -0.3267893 
nnet mean 891 : -0.4174421 
nnet RMSE 891 : 0.1507674 


s: 892 
logit 892 : -0.5775346 
logit mean 892 : -0.4151682 
logit RMSE 892 : 0.05764738 

boosting 892 : -0.5032427 
boosting mean 892 : -0.4771972 
boosting RMSE 892 : 0.1327128 

forest 892 : -0.4239650 
forest mean 892 : -0.3747268 
forest RMSE 892 : 0.05466154 

nnet 892 : -0.2322062 
nnet mean 892 : -0.4172344 
nnet RMSE 892 : 0.1507876 


s: 893 
logit 893 : -0.4220167 
logit mean 893 : -0.4151759 
logit RMSE 893 : 0.05761981 

boosting 893 : -0.5728372 
boosting mean 893 : -0.4773043 
boosting RMSE 893 : 0.1327645 

forest 893 : -0.3937712 
forest mean 893 : -0.3747481 
forest RMSE 893 : 0.05463132 

nnet 893 : -0.33342 
nnet mean 893 : -0.4171406 
nnet RMSE 893 : 0.1507196 


s: 894 
logit 894 : -0.4301748 
logit mean 894 : -0.4151926 
logit RMSE 894 : 0.05759642 

boosting 894 : -0.5395839 
boosting mean 894 : -0.477374 
boosting RMSE 894 : 0.1327724 

forest 894 : -0.4407583 
forest mean 894 : -0.3748219 
forest RMSE 894 : 0.05461777 

nnet 894 : -0.5823839 
nnet mean 894 : -0.4173254 
nnet RMSE 894 : 0.1507587 


s: 895 
logit 895 : -0.4563174 
logit mean 895 : -0.4152386 
logit RMSE 895 : 0.057595 

boosting 895 : -0.4666381 
boosting mean 895 : -0.477362 
boosting RMSE 895 : 0.1327169 

forest 895 : -0.360125 
forest mean 895 : -0.3748055 
forest RMSE 895 : 0.05460352 

nnet 895 : -0.2282663 
nnet mean 895 : -0.4171142 
nnet RMSE 895 : 0.1507838 


s: 896 
logit 896 : -0.3231491 
logit mean 896 : -0.4151358 
logit RMSE 896 : 0.05762008 

boosting 896 : -0.4874297 
boosting mean 896 : -0.4773732 
boosting RMSE 896 : 0.1326749 

forest 896 : -0.3989998 
forest mean 896 : -0.3748325 
forest RMSE 896 : 0.05457305 

nnet 896 : -0.29932 
nnet mean 896 : -0.4169827 
nnet RMSE 896 : 0.1507371 


s: 897 
logit 897 : -0.4842583 
logit mean 897 : -0.4152129 
logit RMSE 897 : 0.05765663 

boosting 897 : -0.5705903 
boosting mean 897 : -0.4774771 
boosting RMSE 897 : 0.1327232 

forest 897 : -0.4035226 
forest mean 897 : -0.3748645 
forest RMSE 897 : 0.05454275 

nnet 897 : -0.4428735 
nnet mean 897 : -0.4170116 
nnet RMSE 897 : 0.1506599 


s: 898 
logit 898 : -0.3973980 
logit mean 898 : -0.415193 
logit RMSE 898 : 0.05762458 

boosting 898 : -0.4477707 
boosting mean 898 : -0.4774441 
boosting RMSE 898 : 0.1326589 

forest 898 : -0.4517861 
forest mean 898 : -0.3749502 
forest RMSE 898 : 0.05453976 

nnet 898 : -0.288003 
nnet mean 898 : -0.4168679 
nnet RMSE 898 : 0.1506224 


s: 899 
logit 899 : -0.3934252 
logit mean 899 : -0.4151688 
logit RMSE 899 : 0.05759294 

boosting 899 : -0.4369093 
boosting mean 899 : -0.477399 
boosting RMSE 899 : 0.1325908 

forest 899 : -0.3663517 
forest mean 899 : -0.3749406 
forest RMSE 899 : 0.05452097 

nnet 899 : -0.3856525 
nnet mean 899 : -0.4168332 
nnet RMSE 899 : 0.1505393 


s: 900 
logit 900 : -0.3715559 
logit mean 900 : -0.4151204 
logit RMSE 900 : 0.05756875 

boosting 900 : -0.4470476 
boosting mean 900 : -0.4773652 
boosting RMSE 900 : 0.1325264 

forest 900 : -0.2721752 
forest mean 900 : -0.3748264 
forest RMSE 900 : 0.054657 

nnet 900 : -0.393729 
nnet mean 900 : -0.4168075 
nnet RMSE 900 : 0.1504558 


s: 901 
logit 901 : -0.3653832 
logit mean 901 : -0.4150652 
logit RMSE 901 : 0.05754835 

boosting 901 : -0.4523275 
boosting mean 901 : -0.4773375 
boosting RMSE 901 : 0.1324643 

forest 901 : -0.3259882 
forest mean 901 : -0.3747722 
forest RMSE 901 : 0.05468228 

nnet 901 : -0.5481168 
nnet mean 901 : -0.4169533 
nnet RMSE 901 : 0.1504532 


s: 902 
logit 902 : -0.4291465 
logit mean 902 : -0.4150808 
logit RMSE 902 : 0.05752462 

boosting 902 : -0.6633701 
boosting mean 902 : -0.4775437 
boosting RMSE 902 : 0.1326810 

forest 902 : -0.3999207 
forest mean 902 : -0.3748001 
forest RMSE 902 : 0.05465196 

nnet 902 : -0.5571317 
nnet mean 902 : -0.4171087 
nnet RMSE 902 : 0.1504608 


s: 903 
logit 903 : -0.4014313 
logit mean 903 : -0.4150656 
logit RMSE 903 : 0.05749278 

boosting 903 : -0.4053949 
boosting mean 903 : -0.4774638 
boosting RMSE 903 : 0.1326076 

forest 903 : -0.3866443 
forest mean 903 : -0.3748132 
forest RMSE 903 : 0.0546235 

nnet 903 : -0.2675675 
nnet mean 903 : -0.4169431 
nnet RMSE 903 : 0.1504420 


s: 904 
logit 904 : -0.412264 
logit mean 904 : -0.4150626 
logit RMSE 904 : 0.05746242 

boosting 904 : -0.4957448 
boosting mean 904 : -0.477484 
boosting RMSE 904 : 0.1325725 

forest 904 : -0.3724617 
forest mean 904 : -0.3748106 
forest RMSE 904 : 0.05460096 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 904 : -0.1728619 
nnet mean 904 : -0.4166731 
nnet RMSE 904 : 0.1505485 


s: 905 
logit 905 : -0.3442996 
logit mean 905 : -0.4149844 
logit RMSE 905 : 0.05746051 

boosting 905 : -0.6111903 
boosting mean 905 : -0.4776318 
boosting RMSE 905 : 0.1326851 

forest 905 : -0.3311759 
forest mean 905 : -0.3747624 
forest RMSE 905 : 0.05461872 

nnet 905 : -0.5362468 
nnet mean 905 : -0.4168052 
nnet RMSE 905 : 0.1505334 


s: 906 
logit 906 : -0.3515286 
logit mean 906 : -0.4149143 
logit RMSE 906 : 0.05745136 

boosting 906 : -0.2934749 
boosting mean 906 : -0.4774285 
boosting RMSE 906 : 0.1326590 

forest 906 : -0.3384153 
forest mean 906 : -0.3747223 
forest RMSE 906 : 0.0546269 

nnet 906 : -0.3520389 
nnet mean 906 : -0.4167337 
nnet RMSE 906 : 0.1504588 


s: 907 
logit 907 : -0.4398143 
logit mean 907 : -0.4149418 
logit RMSE 907 : 0.0574349 

boosting 907 : -0.4686446 
boosting mean 907 : -0.4774188 
boosting RMSE 907 : 0.1326055 

forest 907 : -0.398723 
forest mean 907 : -0.3747487 
forest RMSE 907 : 0.05459679 

nnet 907 : -0.6344392 
nnet mean 907 : -0.4169737 
nnet RMSE 907 : 0.1505771 


s: 908 
logit 908 : -0.3311571 
logit mean 908 : -0.4148495 
logit RMSE 908 : 0.05744871 

boosting 908 : -0.7621992 
boosting mean 908 : -0.4777325 
boosting RMSE 908 : 0.1330764 

forest 908 : -0.3651135 
forest mean 908 : -0.3747381 
forest RMSE 908 : 0.054579 

nnet 908 : -1.010515 
nnet mean 908 : -0.4176274 
nnet RMSE 908 : 0.1518519 


s: 909 
logit 909 : -0.5761764 
logit mean 909 : -0.415027 
logit RMSE 909 : 0.05771368 

boosting 909 : -0.4207541 
boosting mean 909 : -0.4776698 
boosting RMSE 909 : 0.1330050 

forest 909 : -0.4649776 
forest mean 909 : -0.3748374 
forest RMSE 909 : 0.05459153 

nnet 909 : -0.1894823 
nnet mean 909 : -0.4173764 
nnet RMSE 909 : 0.1519289 


s: 910 
logit 910 : -0.3358581 
logit mean 910 : -0.41494 
logit RMSE 910 : 0.05772113 

boosting 910 : -0.3847405 
boosting mean 910 : -0.4775676 
boosting RMSE 910 : 0.1329328 

forest 910 : -0.3648394 
forest mean 910 : -0.3748264 
forest RMSE 910 : 0.05457397 

nnet 910 : -0.270277 
nnet mean 910 : -0.4172148 
nnet RMSE 910 : 0.1519063 


s: 911 
logit 911 : -0.436146 
logit mean 911 : -0.4149633 
logit RMSE 911 : 0.05770187 

boosting 911 : -0.504802 
boosting mean 911 : -0.4775975 
boosting RMSE 911 : 0.1329052 

forest 911 : -0.4319481 
forest mean 911 : -0.3748891 
forest RMSE 911 : 0.05455428 

nnet 911 : -0.5350199 
nnet mean 911 : -0.4173441 
nnet RMSE 911 : 0.1518888 


s: 912 
logit 912 : -0.4546164 
logit mean 912 : -0.4150067 
logit RMSE 912 : 0.05769858 

boosting 912 : -0.4028179 
boosting mean 912 : -0.4775155 
boosting RMSE 912 : 0.1328324 

forest 912 : -0.3913592 
forest mean 912 : -0.3749072 
forest RMSE 912 : 0.05452511 

nnet 912 : -0.2710303 
nnet mean 912 : -0.4171837 
nnet RMSE 912 : 0.1518655 


s: 913 
logit 913 : -0.3080366 
logit mean 913 : -0.4148896 
logit RMSE 913 : 0.05774723 

boosting 913 : -0.4831662 
boosting mean 913 : -0.4775217 
boosting RMSE 913 : 0.1327881 

forest 913 : -0.4266551 
forest mean 913 : -0.3749638 
forest RMSE 913 : 0.05450238 

nnet 913 : -0.2377824 
nnet mean 913 : -0.4169872 
nnet RMSE 913 : 0.1518772 


s: 914 
logit 914 : -0.3445873 
logit mean 914 : -0.4148127 
logit RMSE 914 : 0.05774473 

boosting 914 : -0.458103 
boosting mean 914 : -0.4775005 
boosting RMSE 914 : 0.1327294 

forest 914 : -0.3116088 
forest mean 914 : -0.3748945 
forest RMSE 914 : 0.05455097 

nnet 914 : -0.6095384 
nnet mean 914 : -0.4171978 
nnet RMSE 914 : 0.1519523 


s: 915 
logit 915 : -0.4797642 
logit mean 915 : -0.4148836 
logit RMSE 915 : 0.05777338 

boosting 915 : -0.4822735 
boosting mean 915 : -0.4775057 
boosting RMSE 915 : 0.1326847 

forest 915 : -0.3870894 
forest mean 915 : -0.3749079 
forest RMSE 915 : 0.05452282 

nnet 915 : -0.4140785 
nnet mean 915 : -0.4171944 
nnet RMSE 915 : 0.1518699 


s: 916 
logit 916 : -0.4252794 
logit mean 916 : -0.414895 
logit RMSE 916 : 0.05774787 

boosting 916 : -0.7054668 
boosting mean 916 : -0.4777546 
boosting RMSE 916 : 0.1329958 

forest 916 : -0.3535876 
forest mean 916 : -0.3748846 
forest RMSE 916 : 0.05451462 

nnet 916 : -0.3222978 
nnet mean 916 : -0.4170908 
nnet RMSE 916 : 0.1518087 


s: 917 
logit 917 : -0.3794834 
logit mean 917 : -0.4148564 
logit RMSE 917 : 0.05772035 

boosting 917 : -0.6120403 
boosting mean 917 : -0.477901 
boosting RMSE 917 : 0.1331076 

forest 917 : -0.4121097 
forest mean 917 : -0.3749252 
forest RMSE 917 : 0.05448636 

nnet 917 : -0.3138283 
nnet mean 917 : -0.4169782 
nnet RMSE 917 : 0.1517526 


s: 918 
logit 918 : -0.3957876 
logit mean 918 : -0.4148356 
logit RMSE 918 : 0.05768908 

boosting 918 : -0.6417719 
boosting mean 918 : -0.4780795 
boosting RMSE 918 : 0.1332741 

forest 918 : -0.3945042 
forest mean 918 : -0.3749465 
forest RMSE 918 : 0.05445698 

nnet 918 : -0.5271604 
nnet mean 918 : -0.4170982 
nnet RMSE 918 : 0.151728 


s: 919 
logit 919 : -0.3854025 
logit mean 919 : -0.4148036 
logit RMSE 919 : 0.05765969 

boosting 919 : -0.4600501 
boosting mean 919 : -0.4780599 
boosting RMSE 919 : 0.1332163 

forest 919 : -0.4552298 
forest mean 919 : -0.3750339 
forest RMSE 919 : 0.05445782 

nnet 919 : -0.3509545 
nnet mean 919 : -0.4170263 
nnet RMSE 919 : 0.1516541 


s: 920 
logit 920 : -0.3907161 
logit mean 920 : -0.4147774 
logit RMSE 920 : 0.05762916 

boosting 920 : -0.4432846 
boosting mean 920 : -0.4780221 
boosting RMSE 920 : 0.1331516 

forest 920 : -0.3862302 
forest mean 920 : -0.375046 
forest RMSE 920 : 0.05443011 

nnet 920 : -0.4091713 
nnet mean 920 : -0.4170177 
nnet RMSE 920 : 0.1515719 


s: 921 
logit 921 : -0.4478964 
logit mean 921 : -0.4148133 
logit RMSE 921 : 0.05761948 

boosting 921 : -0.4473538 
boosting mean 921 : -0.4779888 
boosting RMSE 921 : 0.1330884 

forest 921 : -0.319823 
forest mean 921 : -0.3749861 
forest RMSE 921 : 0.05446467 

nnet 921 : -0.2683465 
nnet mean 921 : -0.4168563 
nnet RMSE 921 : 0.1515517 


s: 922 
logit 922 : -0.4485612 
logit mean 922 : -0.4148500 
logit RMSE 922 : 0.05761043 

boosting 922 : -0.4514548 
boosting mean 922 : -0.47796 
boosting RMSE 922 : 0.133027 

forest 922 : -0.3299141 
forest mean 922 : -0.3749372 
forest RMSE 922 : 0.05448404 

nnet 922 : -0.4037127 
nnet mean 922 : -0.416842 
nnet RMSE 922 : 0.1514695 


s: 923 
logit 923 : -0.4304265 
logit mean 923 : -0.4148668 
logit RMSE 923 : 0.05758792 

boosting 923 : -0.4066347 
boosting mean 923 : -0.4778828 
boosting RMSE 923 : 0.1329551 

forest 923 : -0.3624313 
forest mean 923 : -0.3749236 
forest RMSE 923 : 0.05446855 

nnet 923 : -0.5573052 
nnet mean 923 : -0.4169942 
nnet RMSE 923 : 0.151476 


s: 924 
logit 924 : -0.3917444 
logit mean 924 : -0.4148418 
logit RMSE 924 : 0.05755739 

boosting 924 : -0.6640695 
boosting mean 924 : -0.4780843 
boosting RMSE 924 : 0.1331668 

forest 924 : -0.3817802 
forest mean 924 : -0.3749311 
forest RMSE 924 : 0.05444237 

nnet 924 : -0.2146732 
nnet mean 924 : -0.4167753 
nnet RMSE 924 : 0.1515167 


s: 925 
logit 925 : -0.4034322 
logit mean 925 : -0.4148295 
logit RMSE 925 : 0.05752638 

boosting 925 : -0.5263357 
boosting mean 925 : -0.4781364 
boosting RMSE 925 : 0.1331596 

forest 925 : -0.3638988 
forest mean 925 : -0.3749191 
forest RMSE 925 : 0.05442588 

nnet 925 : -0.6312846 
nnet mean 925 : -0.4170072 
nnet RMSE 925 : 0.1516256 


s: 926 
logit 926 : -0.3900402 
logit mean 926 : -0.4148027 
logit RMSE 926 : 0.05749624 

boosting 926 : -0.354703 
boosting mean 926 : -0.4780031 
boosting RMSE 926 : 0.133096 

forest 926 : -0.4168428 
forest mean 926 : -0.3749644 
forest RMSE 926 : 0.0543993 

nnet 926 : -0.2548586 
nnet mean 926 : -0.4168321 
nnet RMSE 926 : 0.1516188 


s: 927 
logit 927 : -0.4158839 
logit mean 927 : -0.4148039 
logit RMSE 927 : 0.05746759 

boosting 927 : -0.3621903 
boosting mean 927 : -0.4778782 
boosting RMSE 927 : 0.13303 

forest 927 : -0.4423002 
forest mean 927 : -0.3750370 
forest RMSE 927 : 0.0543877 

nnet 927 : -0.3974964 
nnet mean 927 : -0.4168112 
nnet RMSE 927 : 0.1515370 


s: 928 
logit 928 : -0.520388 
logit mean 928 : -0.4149176 
logit RMSE 928 : 0.05757241 

boosting 928 : -0.3367961 
boosting mean 928 : -0.4777262 
boosting RMSE 928 : 0.1329745 

forest 928 : -0.2288422 
forest mean 928 : -0.3748795 
forest RMSE 928 : 0.05464798 

nnet 928 : -0.2084459 
nnet mean 928 : -0.4165867 
nnet RMSE 928 : 0.1515858 


s: 929 
logit 929 : -0.4053819 
logit mean 929 : -0.4149074 
logit RMSE 929 : 0.05754169 

boosting 929 : -0.3173675 
boosting mean 929 : -0.4775535 
boosting RMSE 929 : 0.1329305 

forest 929 : -0.3352836 
forest mean 929 : -0.3748369 
forest RMSE 929 : 0.05465982 

nnet 929 : -0.2800927 
nnet mean 929 : -0.4164397 
nnet RMSE 929 : 0.1515552 


s: 930 
logit 930 : -0.3732395 
logit mean 930 : -0.4148626 
logit RMSE 930 : 0.05751744 

boosting 930 : -0.4577427 
boosting mean 930 : -0.4775322 
boosting RMSE 930 : 0.1328726 

forest 930 : -0.3640527 
forest mean 930 : -0.3748253 
forest RMSE 930 : 0.05464314 

nnet 930 : -0.7663811 
nnet mean 930 : -0.416816 
nnet RMSE 930 : 0.1519494 


s: 931 
logit 931 : -0.420959 
logit mean 931 : -0.4148691 
logit RMSE 931 : 0.05749065 

boosting 931 : -0.4858739 
boosting mean 931 : -0.4775412 
boosting RMSE 931 : 0.132831 

forest 931 : -0.3840934 
forest mean 931 : -0.3748352 
forest RMSE 931 : 0.05461627 

nnet 931 : -0.2547669 
nnet mean 931 : -0.416642 
nnet RMSE 931 : 0.1519424 


s: 932 
logit 932 : -0.3933315 
logit mean 932 : -0.414846 
logit RMSE 932 : 0.05746021 

boosting 932 : -0.3510673 
boosting mean 932 : -0.4774055 
boosting RMSE 932 : 0.1327694 

forest 932 : -0.3352697 
forest mean 932 : -0.3747928 
forest RMSE 932 : 0.05462813 

nnet 932 : -0.2435386 
nnet mean 932 : -0.4164562 
nnet RMSE 932 : 0.1519473 


s: 933 
logit 933 : -0.4207602 
logit mean 933 : -0.4148524 
logit RMSE 933 : 0.05743343 

boosting 933 : -0.526819 
boosting mean 933 : -0.4774585 
boosting RMSE 933 : 0.1327632 

forest 933 : -0.3806189 
forest mean 933 : -0.374799 
forest RMSE 933 : 0.05460253 

nnet 933 : -0.4290743 
nnet mean 933 : -0.4164698 
nnet RMSE 933 : 0.1518688 


s: 934 
logit 934 : -0.5436146 
logit mean 934 : -0.4149902 
logit RMSE 934 : 0.0575947 

boosting 934 : -0.342113 
boosting mean 934 : -0.4773136 
boosting RMSE 934 : 0.1327056 

forest 934 : -0.3398109 
forest mean 934 : -0.3747616 
forest RMSE 934 : 0.05460882 

nnet 934 : -0.3443751 
nnet mean 934 : -0.4163926 
nnet RMSE 934 : 0.1517984 


s: 935 
logit 935 : -0.4218751 
logit mean 935 : -0.4149976 
logit RMSE 935 : 0.05756834 

boosting 935 : -0.391202 
boosting mean 935 : -0.4772215 
boosting RMSE 935 : 0.1326349 

forest 935 : -0.4112685 
forest mean 935 : -0.3748006 
forest RMSE 935 : 0.05458085 

nnet 935 : -0.3359874 
nnet mean 935 : -0.4163066 
nnet RMSE 935 : 0.1517317 


s: 936 
logit 936 : -0.3278029 
logit mean 936 : -0.4149044 
logit RMSE 936 : 0.05758595 

boosting 936 : -0.4434821 
boosting mean 936 : -0.4771854 
boosting RMSE 936 : 0.1325717 

forest 936 : -0.3723843 
forest mean 936 : -0.374798 
forest RMSE 936 : 0.05455916 

nnet 936 : -0.6062804 
nnet mean 936 : -0.4165095 
nnet RMSE 936 : 0.1518004 


s: 937 
logit 937 : -0.410383 
logit mean 937 : -0.4148996 
logit RMSE 937 : 0.05755622 

boosting 937 : -0.5659356 
boosting mean 937 : -0.4772801 
boosting RMSE 937 : 0.1326117 

forest 937 : -0.3626221 
forest mean 937 : -0.3747850 
forest RMSE 937 : 0.0545437 

nnet 937 : -0.3605453 
nnet mean 937 : -0.4164498 
nnet RMSE 937 : 0.1517249 


s: 938 
logit 938 : -0.4261508 
logit mean 938 : -0.4149116 
logit RMSE 938 : 0.05753186 

boosting 938 : -0.4157424 
boosting mean 938 : -0.4772145 
boosting RMSE 938 : 0.1325420 

forest 938 : -0.3333080 
forest mean 938 : -0.3747408 
forest RMSE 938 : 0.0545581 

nnet 938 : -0.4892814 
nnet mean 938 : -0.4165274 
nnet RMSE 938 : 0.151672 


s: 939 
logit 939 : -0.3653955 
logit mean 939 : -0.4148589 
logit RMSE 939 : 0.05751231 

boosting 939 : -0.4324502 
boosting mean 939 : -0.4771668 
boosting RMSE 939 : 0.1324757 

forest 939 : -0.4645217 
forest mean 939 : -0.3748364 
forest RMSE 939 : 0.05456968 

nnet 939 : -0.505601 
nnet mean 939 : -0.4166223 
nnet RMSE 939 : 0.1516304 


s: 940 
logit 940 : -0.4203305 
logit mean 940 : -0.4148647 
logit RMSE 940 : 0.05748553 

boosting 940 : -0.3607902 
boosting mean 940 : -0.477043 
boosting RMSE 940 : 0.1324114 

forest 940 : -0.3069382 
forest mean 940 : -0.3747642 
forest RMSE 940 : 0.05462504 

nnet 940 : -0.585122 
nnet mean 940 : -0.4168016 
nnet RMSE 940 : 0.1516699 


s: 941 
logit 941 : -0.4173056 
logit mean 941 : -0.4148673 
logit RMSE 941 : 0.05745775 

boosting 941 : -0.5089426 
boosting mean 941 : -0.4770769 
boosting RMSE 941 : 0.1323886 

forest 941 : -0.430791 
forest mean 941 : -0.3748237 
forest RMSE 941 : 0.05460523 

nnet 941 : -0.1071588 
nnet mean 941 : -0.4164725 
nnet RMSE 941 : 0.1518896 


s: 942 
logit 942 : -0.3889014 
logit mean 942 : -0.4148397 
logit RMSE 942 : 0.05742838 

boosting 942 : -0.5199986 
boosting mean 942 : -0.4771225 
boosting RMSE 942 : 0.1323761 

forest 942 : -0.4168255 
forest mean 942 : -0.3748683 
forest RMSE 942 : 0.05457899 

nnet 942 : -0.5327673 
nnet mean 942 : -0.416596 
nnet RMSE 942 : 0.1518706 


s: 943 
logit 943 : -0.357318 
logit mean 943 : -0.4147787 
logit RMSE 943 : 0.05741475 

boosting 943 : -0.6361906 
boosting mean 943 : -0.4772912 
boosting RMSE 943 : 0.1325293 

forest 943 : -0.3465371 
forest mean 943 : -0.3748383 
forest RMSE 943 : 0.05457782 

nnet 943 : -0.3731718 
nnet mean 943 : -0.4165499 
nnet RMSE 943 : 0.1517926 


s: 944 
logit 944 : -0.5269575 
logit mean 944 : -0.4148975 
logit RMSE 944 : 0.05753291 

boosting 944 : -0.4992788 
boosting mean 944 : -0.4773145 
boosting RMSE 944 : 0.1324984 

forest 944 : -0.4750843 
forest mean 944 : -0.3749445 
forest RMSE 944 : 0.05460362 

nnet 944 : -0.2683846 
nnet mean 944 : -0.4163930 
nnet RMSE 944 : 0.1517726 


s: 945 
logit 945 : -0.4444803 
logit mean 945 : -0.4149288 
logit RMSE 945 : 0.05752067 

boosting 945 : -0.4373544 
boosting mean 945 : -0.4772722 
boosting RMSE 945 : 0.1324339 

forest 945 : -0.3758747 
forest mean 945 : -0.3749455 
forest RMSE 945 : 0.05458036 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 945 : -0.1967348 
nnet mean 945 : -0.4161605 
nnet RMSE 945 : 0.1518363 


s: 946 
logit 946 : -0.3838732 
logit mean 946 : -0.414896 
logit RMSE 946 : 0.05749265 

boosting 946 : -0.5880501 
boosting mean 946 : -0.4773893 
boosting RMSE 946 : 0.1325050 

forest 946 : -0.3428737 
forest mean 946 : -0.3749116 
forest RMSE 946 : 0.05458312 

nnet 946 : -0.2382458 
nnet mean 946 : -0.4159724 
nnet RMSE 946 : 0.1518471 


s: 947 
logit 947 : -0.3640901 
logit mean 947 : -0.4148424 
logit RMSE 947 : 0.05747413 

boosting 947 : -0.4849441 
boosting mean 947 : -0.4773973 
boosting RMSE 947 : 0.1324638 

forest 947 : -0.3526757 
forest mean 947 : -0.3748881 
forest RMSE 947 : 0.05457596 

nnet 947 : -0.6968586 
nnet mean 947 : -0.4162691 
nnet RMSE 947 : 0.1520732 


s: 948 
logit 948 : -0.3325943 
logit mean 948 : -0.4147556 
logit RMSE 948 : 0.05748551 

boosting 948 : -0.2477715 
boosting mean 948 : -0.4771551 
boosting RMSE 948 : 0.1324862 

forest 948 : -0.4252555 
forest mean 948 : -0.3749412 
forest RMSE 948 : 0.05455334 

nnet 948 : -0.6452964 
nnet mean 948 : -0.4165106 
nnet RMSE 948 : 0.1522016 


s: 949 
logit 949 : -0.4571212 
logit mean 949 : -0.4148003 
logit RMSE 949 : 0.05748513 

boosting 949 : -0.3597755 
boosting mean 949 : -0.4770314 
boosting RMSE 949 : 0.1324228 

forest 949 : -0.3629451 
forest mean 949 : -0.3749286 
forest RMSE 949 : 0.05453785 

nnet 949 : -0.4693795 
nnet mean 949 : -0.4165664 
nnet RMSE 949 : 0.1521381 


s: 950 
logit 950 : -0.4417531 
logit mean 950 : -0.4148286 
logit RMSE 950 : 0.05747083 

boosting 950 : -0.6973648 
boosting mean 950 : -0.4772633 
boosting RMSE 950 : 0.1327043 

forest 950 : -0.3515557 
forest mean 950 : -0.374904 
forest RMSE 950 : 0.0545318 

nnet 950 : -0.6258739 
nnet mean 950 : -0.4167867 
nnet RMSE 950 : 0.1522345 


s: 951 
logit 951 : -0.3562176 
logit mean 951 : -0.414767 
logit RMSE 951 : 0.05745815 

boosting 951 : -0.5253226 
boosting mean 951 : -0.4773138 
boosting RMSE 951 : 0.1326967 

forest 951 : -0.2903927 
forest mean 951 : -0.3748151 
forest RMSE 951 : 0.05461889 

nnet 951 : -0.539523 
nnet mean 951 : -0.4169157 
nnet RMSE 951 : 0.1522217 


s: 952 
logit 952 : -0.4683144 
logit mean 952 : -0.4148232 
logit RMSE 952 : 0.05747063 

boosting 952 : -0.4292744 
boosting mean 952 : -0.4772634 
boosting RMSE 952 : 0.1326304 

forest 952 : -0.3762357 
forest mean 952 : -0.3748166 
forest RMSE 952 : 0.05459563 

nnet 952 : -0.3429476 
nnet mean 952 : -0.416838 
nnet RMSE 952 : 0.1521530 


s: 953 
logit 953 : -0.4244164 
logit mean 953 : -0.4148333 
logit RMSE 953 : 0.05744592 

boosting 953 : -0.3651137 
boosting mean 953 : -0.4771457 
boosting RMSE 953 : 0.1325656 

forest 953 : -0.3666671 
forest mean 953 : -0.3748080 
forest RMSE 953 : 0.05457766 

nnet 953 : -0.4164289 
nnet mean 953 : -0.4168376 
nnet RMSE 953 : 0.1520740 


s: 954 
logit 954 : -0.4377125 
logit mean 954 : -0.4148573 
logit RMSE 954 : 0.05742878 

boosting 954 : -0.3108431 
boosting mean 954 : -0.4769714 
boosting RMSE 954 : 0.1325276 

forest 954 : -0.2804890 
forest mean 954 : -0.3747092 
forest RMSE 954 : 0.0546861 

nnet 954 : -0.2759823 
nnet mean 954 : -0.41669 
nnet RMSE 954 : 0.1520473 


s: 955 
logit 955 : -0.4601454 
logit mean 955 : -0.4149047 
logit RMSE 955 : 0.05743169 

boosting 955 : -0.4834719 
boosting mean 955 : -0.4769782 
boosting RMSE 955 : 0.1324857 

forest 955 : -0.3090019 
forest mean 955 : -0.3746404 
forest RMSE 955 : 0.05473672 

nnet 955 : -0.4773862 
nnet mean 955 : -0.4167535 
nnet RMSE 955 : 0.1519883 


s: 956 
logit 956 : -0.4484655 
logit mean 956 : -0.4149398 
logit RMSE 956 : 0.05742305 

boosting 956 : -0.4455455 
boosting mean 956 : -0.4769453 
boosting RMSE 956 : 0.1324246 

forest 956 : -0.2920407 
forest mean 956 : -0.374554 
forest RMSE 956 : 0.0548194 

nnet 956 : -0.07398083 
nnet mean 956 : -0.416395 
nnet RMSE 956 : 0.1522743 


s: 957 
logit 957 : -0.4286252 
logit mean 957 : -0.4149541 
logit RMSE 957 : 0.0574005 

boosting 957 : -0.6070555 
boosting mean 957 : -0.4770813 
boosting RMSE 957 : 0.1325245 

forest 957 : -0.2707391 
forest mean 957 : -0.3744455 
forest RMSE 957 : 0.05494985 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 957 : -0.2506268 
nnet mean 957 : -0.4162218 
nnet RMSE 957 : 0.1522713 


s: 958 
logit 958 : -0.4457791 
logit mean 958 : -0.4149863 
logit RMSE 958 : 0.05738959 

boosting 958 : -0.497281 
boosting mean 958 : -0.4771023 
boosting RMSE 958 : 0.1324926 

forest 958 : -0.4216286 
forest mean 958 : -0.3744947 
forest RMSE 958 : 0.0549256 

nnet 958 : -0.609196 
nnet mean 958 : -0.4164232 
nnet RMSE 958 : 0.1523418 


s: 959 
logit 959 : -0.4480362 
logit mean 959 : -0.4150208 
logit RMSE 959 : 0.05738063 

boosting 959 : -0.6246517 
boosting mean 959 : -0.4772562 
boosting RMSE 959 : 0.1326221 

forest 959 : -0.4103591 
forest mean 959 : -0.3745321 
forest RMSE 959 : 0.05489798 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 959 : -0.1952775 
nnet mean 959 : -0.4161926 
nnet RMSE 959 : 0.1524058 


s: 960 
logit 960 : -0.3665607 
logit mean 960 : -0.4149703 
logit RMSE 960 : 0.05736089 

boosting 960 : -0.5121577 
boosting mean 960 : -0.4772926 
boosting RMSE 960 : 0.1326024 

forest 960 : -0.3311812 
forest mean 960 : -0.374487 
forest RMSE 960 : 0.05491432 

nnet 960 : -0.3730746 
nnet mean 960 : -0.4161477 
nnet RMSE 960 : 0.1523289 


s: 961 
logit 961 : -0.4475039 
logit mean 961 : -0.4150041 
logit RMSE 961 : 0.05735152 

boosting 961 : -0.5071612 
boosting mean 961 : -0.4773236 
boosting RMSE 961 : 0.1325784 

forest 961 : -0.3849804 
forest mean 961 : -0.3744979 
forest RMSE 961 : 0.05488788 

nnet 961 : -0.5585126 
nnet mean 961 : -0.4162958 
nnet RMSE 961 : 0.1523355 


s: 962 
logit 962 : -0.4583773 
logit mean 962 : -0.4150492 
logit RMSE 962 : 0.05735259 

boosting 962 : -0.462695 
boosting mean 962 : -0.4773084 
boosting RMSE 962 : 0.1325249 

forest 962 : -0.3294684 
forest mean 962 : -0.3744511 
forest RMSE 962 : 0.05490645 

nnet 962 : -0.5349535 
nnet mean 962 : -0.4164192 
nnet RMSE 962 : 0.1523184 


s: 963 
logit 963 : -0.4199368 
logit mean 963 : -0.4150543 
logit RMSE 963 : 0.0573264 

boosting 963 : -0.7623644 
boosting mean 963 : -0.4776044 
boosting RMSE 963 : 0.1329698 

forest 963 : -0.2811164 
forest mean 963 : -0.3743542 
forest RMSE 963 : 0.05501149 

nnet 963 : -0.2657239 
nnet mean 963 : -0.4162627 
nnet RMSE 963 : 0.1523008 


s: 964 
logit 964 : -0.5137446 
logit mean 964 : -0.4151567 
logit RMSE 964 : 0.05741366 

boosting 964 : -0.4591008 
boosting mean 964 : -0.4775852 
boosting RMSE 964 : 0.1329145 

forest 964 : -0.4207295 
forest mean 964 : -0.3744023 
forest RMSE 964 : 0.054987 

nnet 964 : -0.5740772 
nnet mean 964 : -0.4164264 
nnet RMSE 964 : 0.1523250 


s: 965 
logit 965 : -0.3078898 
logit mean 965 : -0.4150455 
logit RMSE 965 : 0.05746046 

boosting 965 : -0.4235451 
boosting mean 965 : -0.4775292 
boosting RMSE 965 : 0.1328477 

forest 965 : -0.3918005 
forest mean 965 : -0.3744203 
forest RMSE 965 : 0.05495914 

nnet 965 : -0.5439384 
nnet mean 965 : -0.4165585 
nnet RMSE 965 : 0.1523166 


s: 966 
logit 966 : -0.3641098 
logit mean 966 : -0.4149928 
logit RMSE 966 : 0.05744232 

boosting 966 : -0.3776439 
boosting mean 966 : -0.4774258 
boosting RMSE 966 : 0.1327809 

forest 966 : -0.4225371 
forest mean 966 : -0.3744701 
forest RMSE 966 : 0.05493547 

nnet 966 : -0.5999657 
nnet mean 966 : -0.4167484 
nnet RMSE 966 : 0.1523736 


s: 967 
logit 967 : -0.4549395 
logit mean 967 : -0.4150341 
logit RMSE 967 : 0.05743979 

boosting 967 : -0.4773910 
boosting mean 967 : -0.4774258 
boosting RMSE 967 : 0.1327356 

forest 967 : -0.4081893 
forest mean 967 : -0.374505 
forest RMSE 967 : 0.05490769 

nnet 967 : -0.6455446 
nnet mean 967 : -0.416985 
nnet RMSE 967 : 0.1524994 


s: 968 
logit 968 : -0.4619032 
logit mean 968 : -0.4150825 
logit RMSE 968 : 0.05744458 

boosting 968 : -0.3707998 
boosting mean 968 : -0.4773157 
boosting RMSE 968 : 0.1326703 

forest 968 : -0.3829543 
forest mean 968 : -0.3745137 
forest RMSE 968 : 0.05488206 

nnet 968 : -0.3810335 
nnet mean 968 : -0.4169478 
nnet RMSE 968 : 0.1524218 


s: 969 
logit 969 : -0.4873435 
logit mean 969 : -0.4151571 
logit RMSE 969 : 0.05748345 

boosting 969 : -0.3384062 
boosting mean 969 : -0.4771723 
boosting RMSE 969 : 0.1326166 

forest 969 : -0.3342088 
forest mean 969 : -0.3744721 
forest RMSE 969 : 0.05489443 

nnet 969 : -0.3624743 
nnet mean 969 : -0.4168916 
nnet RMSE 969 : 0.1523479 


s: 970 
logit 970 : -0.4561119 
logit mean 970 : -0.4151993 
logit RMSE 970 : 0.05748206 

boosting 970 : -0.5306337 
boosting mean 970 : -0.4772274 
boosting RMSE 970 : 0.1326146 

forest 970 : -0.3244169 
forest mean 970 : -0.3744205 
forest RMSE 970 : 0.05491977 

nnet 970 : -0.3982903 
nnet mean 970 : -0.4168725 
nnet RMSE 970 : 0.1522693 


s: 971 
logit 971 : -0.4794342 
logit mean 971 : -0.4152655 
logit RMSE 971 : 0.05750897 

boosting 971 : -0.5266529 
boosting mean 971 : -0.4772783 
boosting RMSE 971 : 0.1326086 

forest 971 : -0.4765888 
forest mean 971 : -0.3745257 
forest RMSE 971 : 0.05494649 

nnet 971 : -0.3759674 
nnet mean 971 : -0.4168303 
nnet RMSE 971 : 0.1521929 


s: 972 
logit 972 : -0.5549424 
logit mean 972 : -0.4154092 
logit RMSE 972 : 0.05769383 

boosting 972 : -0.4654751 
boosting mean 972 : -0.4772662 
boosting RMSE 972 : 0.1325570 

forest 972 : -0.3392661 
forest mean 972 : -0.3744895 
forest RMSE 972 : 0.05495275 

nnet 972 : -0.2215491 
nnet mean 972 : -0.4166294 
nnet RMSE 972 : 0.1522222 


s: 973 
logit 973 : -0.3919973 
logit mean 973 : -0.4153851 
logit RMSE 973 : 0.05766475 

boosting 973 : -0.4152282 
boosting mean 973 : -0.4772024 
boosting RMSE 973 : 0.1324897 

forest 973 : -0.3710447 
forest mean 973 : -0.3744859 
forest RMSE 973 : 0.05493235 

nnet 973 : -0.2160011 
nnet mean 973 : -0.4164232 
nnet RMSE 973 : 0.1522583 


s: 974 
logit 974 : -0.4094638 
logit mean 974 : -0.415379 
logit RMSE 974 : 0.05763594 

boosting 974 : -0.4324043 
boosting mean 974 : -0.4771564 
boosting RMSE 974 : 0.1324258 

forest 974 : -0.3804290 
forest mean 974 : -0.374492 
forest RMSE 974 : 0.05490773 

nnet 974 : -0.04355749 
nnet mean 974 : -0.4160404 
nnet RMSE 974 : 0.1526081 


s: 975 
logit 975 : -0.4271745 
logit mean 975 : -0.4153911 
logit RMSE 975 : 0.05761294 

boosting 975 : -0.5335905 
boosting mean 975 : -0.4772143 
boosting RMSE 975 : 0.1324270 

forest 975 : -0.2801921 
forest mean 975 : -0.3743953 
forest RMSE 975 : 0.05501353 

nnet 975 : -0.5171926 
nnet mean 975 : -0.4161442 
nnet RMSE 975 : 0.1525760 


s: 976 
logit 976 : -0.424899 
logit mean 976 : -0.4154009 
logit RMSE 976 : 0.05758894 

boosting 976 : -0.5922142 
boosting mean 976 : -0.4773321 
boosting RMSE 976 : 0.1325020 

forest 976 : -0.4196689 
forest mean 976 : -0.3744417 
forest RMSE 976 : 0.05498894 

nnet 976 : -0.5021025 
nnet mean 976 : -0.4162322 
nnet RMSE 976 : 0.1525328 


s: 977 
logit 977 : -0.4627505 
logit mean 977 : -0.4154493 
logit RMSE 977 : 0.05759446 

boosting 977 : -0.5233599 
boosting mean 977 : -0.4773792 
boosting RMSE 977 : 0.132493 

forest 977 : -0.3960166 
forest mean 977 : -0.3744638 
forest RMSE 977 : 0.05496094 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 977 : -0.2773634 
nnet mean 977 : -0.4160901 
nnet RMSE 977 : 0.1525052 


s: 978 
logit 978 : -0.3543393 
logit mean 978 : -0.4153868 
logit RMSE 978 : 0.05758352 

boosting 978 : -0.3128103 
boosting mean 978 : -0.477211 
boosting RMSE 978 : 0.1324546 

forest 978 : -0.3095142 
forest mean 978 : -0.3743974 
forest RMSE 978 : 0.05500898 

nnet 978 : -0.411101 
nnet mean 978 : -0.416085 
nnet RMSE 978 : 0.1524276 


s: 979 
logit 979 : -0.4131584 
logit mean 979 : -0.4153846 
logit RMSE 979 : 0.05755564 

boosting 979 : -0.5292389 
boosting mean 979 : -0.4772641 
boosting RMSE 979 : 0.1324514 

forest 979 : -0.4129856 
forest mean 979 : -0.3744368 
forest RMSE 979 : 0.05498245 

nnet 979 : 0.009181785 
nnet mean 979 : -0.4156506 
nnet RMSE 979 : 0.15291 


s: 980 
logit 980 : -0.2521927 
logit mean 980 : -0.415218 
logit RMSE 980 : 0.0577197 

boosting 980 : -0.4908535 
boosting mean 980 : -0.477278 
boosting RMSE 980 : 0.1324156 

forest 980 : -0.3928116 
forest mean 980 : -0.3744555 
forest RMSE 980 : 0.05495487 

nnet 980 : -0.3652438 
nnet mean 980 : -0.4155992 
nnet RMSE 980 : 0.152836 


s: 981 
logit 981 : -0.4591898 
logit mean 981 : -0.4152629 
logit RMSE 981 : 0.05772122 

boosting 981 : -0.4424034 
boosting mean 981 : -0.4772424 
boosting RMSE 981 : 0.132355 

forest 981 : -0.4668813 
forest mean 981 : -0.3745497 
forest RMSE 981 : 0.05496834 

nnet 981 : -0.3003813 
nnet mean 981 : -0.4154817 
nnet RMSE 981 : 0.1527912 


s: 982 
logit 982 : -0.3799022 
logit mean 982 : -0.4152269 
logit RMSE 982 : 0.05769539 

boosting 982 : -0.3693705 
boosting mean 982 : -0.4771326 
boosting RMSE 982 : 0.1322912 

forest 982 : -0.4062202 
forest mean 982 : -0.374582 
forest RMSE 982 : 0.05494071 

nnet 982 : -0.4076796 
nnet mean 982 : -0.4154738 
nnet RMSE 982 : 0.1527136 


s: 983 
logit 983 : -0.4155383 
logit mean 983 : -0.4152272 
logit RMSE 983 : 0.05766816 

boosting 983 : -0.2588215 
boosting mean 983 : -0.4769105 
boosting RMSE 983 : 0.1323005 

forest 983 : -0.4206265 
forest mean 983 : -0.3746288 
forest RMSE 983 : 0.0549167 

nnet 983 : -0.48298 
nnet mean 983 : -0.4155424 
nnet RMSE 983 : 0.1526588 


s: 984 
logit 984 : -0.3777251 
logit mean 984 : -0.4151891 
logit RMSE 984 : 0.05764323 

boosting 984 : -0.3473428 
boosting mean 984 : -0.4767788 
boosting RMSE 984 : 0.1322439 

forest 984 : -0.3990026 
forest mean 984 : -0.3746536 
forest RMSE 984 : 0.05488879 

nnet 984 : -0.3473260 
nnet mean 984 : -0.4154731 
nnet RMSE 984 : 0.1525905 


s: 985 
logit 985 : -0.4017533 
logit mean 985 : -0.4151754 
logit RMSE 985 : 0.05761399 

boosting 985 : -0.5079887 
boosting mean 985 : -0.4768105 
boosting RMSE 985 : 0.1322216 

forest 985 : -0.3400324 
forest mean 985 : -0.3746185 
forest RMSE 985 : 0.05489419 

nnet 985 : -0.429418 
nnet mean 985 : -0.4154873 
nnet RMSE 985 : 0.1525159 


s: 986 
logit 986 : -0.4281788 
logit mean 986 : -0.4151886 
logit RMSE 986 : 0.05759175 

boosting 986 : -0.402068 
boosting mean 986 : -0.4767347 
boosting RMSE 986 : 0.1321545 

forest 986 : -0.3102059 
forest mean 986 : -0.3745531 
forest RMSE 986 : 0.05494081 

nnet 986 : -0.3920905 
nnet mean 986 : -0.4154635 
nnet RMSE 986 : 0.1524387 


s: 987 
logit 987 : -0.3594681 
logit mean 987 : -0.4151321 
logit RMSE 987 : 0.05757703 

boosting 987 : -0.3534574 
boosting mean 987 : -0.4766098 
boosting RMSE 987 : 0.1320959 

forest 987 : -0.341174 
forest mean 987 : -0.3745193 
forest RMSE 987 : 0.05494489 

nnet 987 : -0.483085 
nnet mean 987 : -0.4155321 
nnet RMSE 987 : 0.1523844 


s: 988 
logit 988 : -0.4501992 
logit mean 988 : -0.4151676 
logit RMSE 988 : 0.05757004 

boosting 988 : -0.4901688 
boosting mean 988 : -0.4766235 
boosting RMSE 988 : 0.1320602 

forest 988 : -0.384594 
forest mean 988 : -0.3745295 
forest RMSE 988 : 0.05491926 

nnet 988 : -0.2967151 
nnet mean 988 : -0.4154118 
nnet RMSE 988 : 0.1523427 


s: 989 
logit 989 : -0.4159443 
logit mean 989 : -0.4151684 
logit RMSE 989 : 0.05754316 

boosting 989 : -0.4513702 
boosting mean 989 : -0.476598 
boosting RMSE 989 : 0.1320035 

forest 989 : -0.3755517 
forest mean 989 : -0.3745305 
forest RMSE 989 : 0.054897 

nnet 989 : -0.5177125 
nnet mean 989 : -0.4155152 
nnet RMSE 989 : 0.1523117 


s: 990 
logit 990 : -0.43438 
logit mean 990 : -0.4151878 
logit RMSE 990 : 0.05752447 

boosting 990 : -0.4395729 
boosting mean 990 : -0.4765606 
boosting RMSE 990 : 0.1319428 

forest 990 : -0.4076899 
forest mean 990 : -0.3745640 
forest RMSE 990 : 0.05486981 

nnet 990 : -0.2843106 
nnet mean 990 : -0.4153827 
nnet RMSE 990 : 0.1522791 


s: 991 
logit 991 : -0.42289 
logit mean 991 : -0.4151956 
logit RMSE 991 : 0.05750004 

boosting 991 : -0.5456195 
boosting mean 991 : -0.4766303 
boosting RMSE 991 : 0.1319573 

forest 991 : -0.3797577 
forest mean 991 : -0.3745693 
forest RMSE 991 : 0.05484589 

nnet 991 : -0.2707290 
nnet mean 991 : -0.4152367 
nnet RMSE 991 : 0.1522577 


s: 992 
logit 992 : -0.4200506 
logit mean 992 : -0.4152005 
logit RMSE 992 : 0.05747457 

boosting 992 : -0.1779383 
boosting mean 992 : -0.4763292 
boosting RMSE 992 : 0.1320791 

forest 992 : -0.4836978 
forest mean 992 : -0.3746793 
forest RMSE 992 : 0.05488261 

nnet 992 : -0.8627893 
nnet mean 992 : -0.4156879 
nnet RMSE 992 : 0.1528886 


s: 993 
logit 993 : -0.3547008 
logit mean 993 : -0.4151396 
logit RMSE 993 : 0.05746361 

boosting 993 : -0.3828057 
boosting mean 993 : -0.476235 
boosting RMSE 993 : 0.1320137 

forest 993 : -0.4370324 
forest mean 993 : -0.3747421 
forest RMSE 993 : 0.05486755 

nnet 993 : -0.4419846 
nnet mean 993 : -0.4157144 
nnet RMSE 993 : 0.1528174 


s: 994 
logit 994 : -0.3911169 
logit mean 994 : -0.4151154 
logit RMSE 994 : 0.05743539 

boosting 994 : -0.3689264 
boosting mean 994 : -0.476127 
boosting RMSE 994 : 0.1319510 

forest 994 : -0.4147119 
forest mean 994 : -0.3747823 
forest RMSE 994 : 0.05484193 

nnet 994 : -0.3809235 
nnet mean 994 : -0.4156794 
nnet RMSE 994 : 0.1527417 


s: 995 
logit 995 : -0.3011684 
logit mean 995 : -0.4150009 
logit RMSE 995 : 0.05749196 

boosting 995 : -0.2319905 
boosting mean 995 : -0.4758817 
boosting RMSE 995 : 0.1319922 

forest 995 : -0.3804846 
forest mean 995 : -0.374788 
forest RMSE 995 : 0.05481786 

nnet 995 : -0.3638184 
nnet mean 995 : -0.4156273 
nnet RMSE 995 : 0.1526693 


s: 996 
logit 996 : -0.3642992 
logit mean 996 : -0.41495 
logit RMSE 996 : 0.05747422 

boosting 996 : -0.4987305 
boosting mean 996 : -0.4759046 
boosting RMSE 996 : 0.1319630 

forest 996 : -0.3611965 
forest mean 996 : -0.3747744 
forest RMSE 996 : 0.05480413 

nnet 996 : -0.277781 
nnet mean 996 : -0.4154889 
nnet RMSE 996 : 0.1526417 


s: 997 
logit 997 : -0.4586328 
logit mean 997 : -0.4149938 
logit RMSE 997 : 0.0574754 

boosting 997 : -0.4202548 
boosting mean 997 : -0.4758488 
boosting RMSE 997 : 0.1318983 

forest 997 : -0.3206667 
forest mean 997 : -0.3747201 
forest RMSE 997 : 0.05483423 

nnet 997 : -0.4754036 
nnet mean 997 : -0.4155490 
nnet RMSE 997 : 0.1525839 


s: 998 
logit 998 : -0.4103593 
logit mean 998 : -0.4149892 
logit RMSE 998 : 0.05744753 

boosting 998 : -0.5194786 
boosting mean 998 : -0.4758925 
boosting RMSE 998 : 0.1318865 

forest 998 : -0.4548085 
forest mean 998 : -0.3748004 
forest RMSE 998 : 0.0548342 

nnet 998 : -0.4476099 
nnet mean 998 : -0.4155811 
nnet RMSE 998 : 0.1525148 


s: 999 
logit 999 : -0.3957963 
logit mean 999 : -0.4149699 
logit RMSE 999 : 0.05741892 

boosting 999 : -0.5217681 
boosting mean 999 : -0.4759384 
boosting RMSE 999 : 0.1318767 

forest 999 : -0.4080852 
forest mean 999 : -0.3748337 
forest RMSE 999 : 0.05480735 

nnet 999 : -0.35134 
nnet mean 999 : -0.4155168 
nnet RMSE 999 : 0.1524463 


s: 1000 
logit 1000 : -0.3824703 
logit mean 1000 : -0.4149374 
logit RMSE 1000 : 0.05739288 

boosting 1000 : -0.5042954 
boosting mean 1000 : -0.4759668 
boosting RMSE 1000 : 0.1318520 

forest 1000 : -0.3459308 
forest mean 1000 : -0.3748048 
forest RMSE 1000 : 0.05480661 

nnet 1000 : -0.5468052 
nnet mean 1000 : -0.4156481 
nnet RMSE 1000 : 0.1524407 
There were 50 or more warnings (use warnings() to see the first 50)
> 
> 
> rm(sdta)
> save.image("RData.sims.B.nobs1000",compress="bzip2")
> 
> proc.time()
    user   system  elapsed 
47715.58     9.99 48198.18 
